Google Health रिसर्च पब्लिकेशन
अपने काम को प्रकाशित करके, हम हेल्थकेयर में सुधार करने के लिए कई तरह के विचार शेयर कर पाते हैं और सबके साथ मिलकर काम कर पाते हैं. यहां हमारे पब्लिकेशन और काम के ब्लॉग पोस्ट देखें.
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ब्लॉग पोस्ट [ज़्यादा जानकारी के लिए, Google Keyword ब्लॉग और Google Research ब्लॉग पर जाएं]
Google’s vision for a healthier futureby Karen DeSalvo
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ब्लॉग पोस्ट
How gen AI can help doctors and nurses ease their administrative workloadsby Aashima Gupta
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ब्लॉग पोस्ट
AI startups revolutionizing mental health careby Karen DeSalvo
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ब्लॉग पोस्ट
Supporting India’s digital health transformationby Bakul Patel
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ब्लॉग पोस्ट
4 principles to guide AI in supporting mental healthby Megan Jones Bell
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ब्लॉग पोस्ट
Google Research at Google I/O 2024by Yossi Matias & James Manyika
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ब्लॉग पोस्ट
How 7 businesses are putting Google Cloud’s AI innovations to workby Carrie Tharp
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ब्लॉग पोस्ट
How we’re using AI to connect people to health informationby Karen DeSalvo
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ब्लॉग पोस्ट
How AI is helping advance women’s health around the worldby Ronit Levavi Morad & Preeti Singh
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ब्लॉग पोस्ट
A new commitment to digital wellbeing for kids and teensby Karen DeSalvo
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ब्लॉग पोस्ट
3 predictions for AI in healthcare in 2024by Aashima Gupta
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ब्लॉग पोस्ट
2023: A year of groundbreaking advances in AI and computingby Jeff Dean, James Manyika, & Demis Hassabis
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ब्लॉग पोस्ट
23 of our biggest moments in 2023by Molly McHugh-Johnson
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ब्लॉग पोस्ट
4 ways we think about health equity and AIby Ivor Horn
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ब्लॉग पोस्ट
5 ways Google is accelerating Health AI innovation in Africaby Yossi Mattia Shravya Shetty
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ब्लॉग पोस्ट
How we’re using AI to help transform healthcareby Yossi Mattias
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ब्लॉग पोस्ट
A new collaboration to improve nutrition informationby Nira Goren
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ब्लॉग पोस्ट
HLTH 2023: Bringing AI to health responsiblyby Michaell Howell
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ब्लॉग पोस्ट
How AI can improve health for everyone, everywhereby Karen DeSalvo
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ब्लॉग पोस्ट
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
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ब्लॉग पोस्ट [más en Blog The Keyword de Google & Blog de Google AI]
Looking to the next 75 years of the NHSby Susan Thomas
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ब्लॉग पोस्ट
New research from the UK focused on technology’s role in healthcareby Susan Thomas
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ब्लॉग पोस्ट
Our collaboration with WHO to improve public healthby Karen DeSalvo
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ब्लॉग पोस्ट
Partnering with startups using AI to improve healthcareby Karen DeSalvo
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ब्लॉग पोस्ट
More mental health resources for the moments you need themby Megan Jones Bell
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ब्लॉग पोस्ट
3 ways Google products can help you feel less stressedby Megan Jones Bell
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ब्लॉग पोस्ट
New ways we’re helping people live healthier livesby Karen DeSalvo
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ब्लॉग पोस्ट
Our latest health AI research updatesby Greg Corrado & Yossi Matias
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ब्लॉग पोस्ट
Google Research, 2022 & beyond: Healthby Greg Corrado & Yossi Matias
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ब्लॉग पोस्ट
Meet our Health Equity Research Initiative awardeesby Ivor Horn
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ब्लॉग पोस्ट
7 ways Google is using AI to help solve society's challengesby Katie Malczyk
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ब्लॉग पोस्ट
3 ways to take better care of your mind and body in 2023by Megan Jones Bell
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ब्लॉग पोस्ट
8 things we launched in 2022 to support your healthby Iz Conroy
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ब्लॉग पोस्ट
How to use Google Search to help manage uncertain timesby Hema Budaraju
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ब्लॉग पोस्ट
Unlocking the potential of technology to support healthby Karen DeSalvo
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ब्लॉग पोस्ट
Healthy collaboration: Why partnerships are the heart of healthcare innovationby Aashima Gupta
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ब्लॉग पोस्ट
3 ways AI is scaling helpful technologies worldwideby Jeff Dean
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ब्लॉग पोस्ट
Democratizing access to healthby Karen DeSalvo
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ब्लॉग पोस्ट
Google Assistant offers information and hope for Breast Cancer Awareness Monthby Riva Sciuto
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ब्लॉग पोस्ट
Our work toward health equityby Ivor Horn
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ब्लॉग पोस्ट
Dr. Von Nguyen’s temperature check on public healthby Lauren Winer
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ब्लॉग पोस्ट
Suicide prevention resources on Google Searchby Anne Merritt
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ब्लॉग पोस्ट
Mental health resources you can count onby Megan Jones Bell
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ब्लॉग पोस्ट
Raising awareness of the dangers of fentanylby Megan Jones Bell & Garth Graham
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ब्लॉग पोस्ट
The Check Up: helping people live healthier livesby Karen DeSalvo
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ब्लॉग पोस्ट
The Check Up: our latest health AI developmentsby Greg Corrado
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ब्लॉग पोस्ट
Extending Care Studio with a new healthcare partnershipby Paul Muret
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ब्लॉग पोस्ट
Take a look at Conditions, our new feature in Care Studioby Paul Muret
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ब्लॉग पोस्ट
Google Research: Themes from 2021 and Beyondby Jeff Dean
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ब्लॉग पोस्ट
Making healthcare options more accessible on Searchby Hema Budaraju
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ब्लॉग पोस्ट
HLTH: Building on our commitments in healthby Karen DeSalvo
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ब्लॉग पोस्ट
When it comes to mental health, what are we searching for?by Alicia Cormie
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ब्लॉग पोस्ट
Dr. Ivor Horn talks about technology and health equityby Alicia Cormie
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ब्लॉग पोस्ट
Our Care Studio pilot is expanding to more cliniciansby Paul Muret
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ब्लॉग पोस्ट
Google Research: Looking Back at 2020, and Forward to 2021by Jeff Dean
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ब्लॉग पोस्ट
A new Google Search tool to support women with postpartum depressionby David Feinberg
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ब्लॉग पोस्ट
Prepare for medical visits with help from Google and AHRQby Dave Greenwood
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ब्लॉग पोस्ट
A Collaborative Approach to Shaping Successful UX Critique Practicesby Anna Lurchenko
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ब्लॉग पोस्ट
Learn more about anxiety with a self-assessment on Searchby Daniel Gillison, Jr
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ब्लॉग पोस्ट
Google Research: Looking Back at 2019, and Forward to 2020 and Beyondby Jeff Dean
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ब्लॉग पोस्ट
Lessons Learned from Developing ML for Healthcareby Yun Liu & Po-Hsuan Cameron Chen
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ब्लॉग पोस्ट
Tools to help healthcare providers deliver better careby David Feinberg
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ब्लॉग पोस्ट
Breast cancer and tech...a reason for optimismby Ruth Porat
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ब्लॉग पोस्ट
DeepMind’s health team joins Google Healthby Dominic King
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ब्लॉग पोस्ट
Looking Back at Google’s Research Efforts in 2018by Jeff Dean
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ब्लॉग पोस्ट
Meet David Feinberg, head of Google Healthby Google
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ब्लॉग पोस्ट
AI for Social Good in Asia Pacificby Kent Walter
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ब्लॉग पोस्ट
The Google Brain Team — Looking Back on 2017 (Part 2 of 2)by Jeff Dean
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ब्लॉग पोस्ट
Gain a deeper understanding of Posttraumatic Stress Disorder on Googleby Paula Schnurr & Teri Brister
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ब्लॉग पोस्ट
Learning more about clinical depression with the PHQ-9 questionnaireby Mary Giliberti
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ब्लॉग पोस्ट
Partnering on machine learning in healthcareby Katherine Chou
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ब्लॉग पोस्ट
The Google Brain Team — Looking Back on 2016by Jeff Dean
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कोविड-19 ब्लॉग पोस्ट
Supporting evolving COVID information needsby Hema Budaraju
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कोविड-19 ब्लॉग पोस्ट [más en Blog The Keyword de Google]
Group effort: How we helped launch an NYC vaccine siteby Lauren Gallagher
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कोविड-19 ब्लॉग पोस्ट [más en Blog The Keyword de Google]
This year, we searched for ways to stay healthyby Hema Budaraju
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कोविड-19 ब्लॉग पोस्ट
New tools to support vaccine access and distributionby Tomer Shekel
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कोविड-19 ब्लॉग पोस्ट
An update on our COVID response prioritiesby the COVID Response team, Google India
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कोविड-19 ब्लॉग पोस्ट
Our commitment to COVID-19 vaccine equityby Karen DeSalvo
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कोविड-19 ब्लॉग पोस्ट
How anonymized data helps fight against diseaseby Stephen Ratcliffe
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कोविड-19 ब्लॉग पोस्ट
How we’re helping get vaccines to more peopleby Sundar Pichai
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कोविड-19 ब्लॉग पोस्ट
Exposure Notifications: end of year updateby Steph Hannon
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कोविड-19 ब्लॉग पोस्ट
How you'll find accurate and timely information on COVID-19 vaccinesby Karen DeSalvo & Kristie Canegallo
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कोविड-19 ब्लॉग पोस्ट
How I’m giving thanks (and staying safe) this Thanksgivingby Karen DeSalvo
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कोविड-19 ब्लॉग पोस्ट
A Q&A on coronavirus vaccinesGoogle Keyword Blog
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कोविड-19 ब्लॉग पोस्ट
An update on our efforts to help Americans navigate COVID-19by Ruth Porat
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कोविड-19 ब्लॉग पोस्ट
Making data useful for public healthby Katherine Chou
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कोविड-19 ब्लॉग पोस्ट
Google supports COVID-19 AI and data analytics projectsby Mollie Javerbaum & Meghan Houghton
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कोविड-19 ब्लॉग पोस्ट
Using symptoms search trends to inform COVID-19 researchby Evgeniy Gabrilovich
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कोविड-19 ब्लॉग पोस्ट
An update on Exposure Notificationsby Dave Burke
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कोविड-19 ब्लॉग पोस्ट
Exposure Notification API launches to support public health agenciesby Apple & Google
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कोविड-19 ब्लॉग पोस्ट
Dr. Karen DeSalvo on ‘putting information first’ during COVID-19by Megan Washam
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कोविड-19 ब्लॉग पोस्ट
Resources for mental health support during COVID-19by David Feinberg
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कोविड-19 ब्लॉग पोस्ट
Helping you avoid COVID-19 online security risksGoogle Africa Blog
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कोविड-19 ब्लॉग पोस्ट
Apple and Google partner on COVID-19 contact tracing technologyby Apple & Google
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कोविड-19 ब्लॉग पोस्ट
Connecting people to virtual care optionsby Julie Black
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कोविड-19 ब्लॉग पोस्ट
Support for public health workers fighting COVID-19by Karen DeSalvo
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कोविड-19 ब्लॉग पोस्ट
Helping public health officials combat COVID-19by Jen Fitzpatrick & Karen DeSalvo
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कोविड-19 ब्लॉग पोस्ट
Connecting people with COVID-19 information and resourcesby Emily Moxley
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कोविड-19 ब्लॉग पोस्ट
COVID-19: How we’re continuing to helpby Sundar Pichai
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कोविड-19 ब्लॉग पोस्ट
Coronavirus: How we’re helpingby Sundar Pichai
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रिव्यु
Safety principles for medical summarization using generative AIObika, D., Kelly, C., Ding, N., Farrance, C., Krause, J., Mittal, P., Cheung, D., Cole-Lewis, H., Elish, M., Karthikesalingam, A., Webster, D., Patel, B. & Howell, M.
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रिव्यु
A multiparty collaboration to engage diverse populations in community-centered artificial intelligence researchDevon-Sand, A., Sayres, R., Liu, Y., Strachan, P., Smith, M. A., Nguyen, T., Ko, J. M. & Lin, S.
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रिव्यु
The Opportunities and Risks of Large Language Models in Mental HealthLawrence, H. R., Schneider, R. A., Rubin, S. B.,Matarić, M. J., McDuff, D. J. & Jones Bell, M.
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रिव्यु
The Regulation of Clinical Artificial IntelligenceBlumenthal David & Patel Bakul.
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रिव्यु
Generative artificial intelligence, patient safety and healthcare quality: a reviewHowell, M. D.
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रिव्यु
AI in Action: Accelerating Progress Towards the Sustainable Development GoalsGosselink, B. H., Brandt, K., Croak, M., DeSalvo, K., Gomes, B., Ibrahim, L., Johnson, M., Matias, Y., Porat, R., Walker, K. & Manyika, J.
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रिव्यु
Transforming Public Health Practice With Generative Artificial IntelligenceBharel, M., Auerbach, J., Nguyen, V. & DeSalvo, K. B.
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रिव्यु
Information is a determinant of healthGraham, G., Goren, N., Sounderajah, V. & DeSalvo, K.
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रिव्यु
An intentional approach to managing bias in general purpose embedding modelsWeng, W.-H., Sellergen, A., Kiraly, A. P., D’Amour, A., Park, J., Pilgrim, R., Pfohl, S., Lau, C., Natarajan, V., Azizi, S., Karthikesalingam, A., Cole-Lewis, H., Matias, Y., Corrado, G. S., Webster, D. R., Shetty, S., Prabhakara, S., Eswaran, K., Celi, L. A. G. & Liu, Y.
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रिव्यु
Three Epochs of Artificial Intelligence in Health CareHowell M., Corrado G., DeSalvo K.
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रिव्यु
Artificial intelligence in healthcare: a perspective from GoogleLehmann, L. S., Natarajan, V. & Peng, L. Chapter 39
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रिव्यु
Explaining counterfactual imagesLang, O., Traynis, I. & Liu, Y.
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रिव्यु
Beyond Predictions: Explainability and Learning from Machine LearningDeng, C.-Y., Mitani, A., Chen, C. W., Peng, L. H., Hammel, N. & Liu, Y
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रिव्यु
Deep Learning for Epidemiologists: An introduction to neural networks.Serghiou, S. & Rough, K.
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रिव्यु
Building a Clinical Team in a Large Technology Company.DeSalvo Karen B. & Howell Michael D.
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रिव्यु
Medicine’s Role in Reimagining Public Health: Reuniting Panacea and HygeiaDeSalvo, K. B., Kadakia, K. T. & Chokshi, D. A.
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रिव्यु
Modernizing Public Health Data Systems: Lessons From the Health Information Technology for Economic and Clinical Health (HITECH) ActKadakia, K. T., Howell, M. D. & DeSalvo, K. B.
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रिव्यु
Public Health 3.0 After COVID-19-Reboot or Upgrade?DeSalvo, K. B. & Kadakia, K. T.
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रिव्यु
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AISounderajah, V., Ashrafian, H., Rose, S., Shah, N. H., Ghassemi, M., Golub, R., Kahn, C. E., Jr, Esteva, A., Karthikesalingam, A., Mateen, B., Webster, D., Milea, D., Ting, D., Treanor, D., Cushnan, D., King, D., McPherson, D., Glocker, B., Greaves, F., Harling, L., Ordish, J., Cohen, J. F., Deeks, J., Leeflang, M., Diamond, M., McInnes, M. D. F., McCradden, M., Abràmoff, M. D., Normahani, P., Markar, S. R., Chang, S., Liu, X., Mallett, S., Shetty, S., Denniston, A., Collins, G. S., Moher, D., Whiting, P., Bossuyt, P. M. & Darzi, A.
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रिव्यु
Evaluation of artificial intelligence on a reference standard based on subjective interpretationChen, P.-H. C., Mermel, C. H. & Liu, Y.
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रिव्यु
Artificial Intelligence in MedicineKelly, C. J., Brown, A. P. Y. & Taylor, J. A.
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रिव्यु
Challenges of Accuracy in Germline Clinical Sequencing DataPoplin, R., Zook, J. M. & DePristo, M.
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रिव्यु
Retinal detection of kidney disease and diabetesMitani, A., Hammel, N. & Liu, Y.
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रिव्यु
Deep learning-enabled medical computer visionEsteva, A., Chou, K., Yeung, S., Naik, N., Madani, A., Mottaghi, A., Liu, Y., Topol, E., Dean, J. & Socher, R.
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रिव्यु
Closing the translation gap: AI applications in digital pathologySteiner, D. F., Chen, P.-H. C. & Mermel, C. H.
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रिव्यु
Lessons learnt from harnessing deep learning for real-world clinical applications in ophthalmology: detecting diabetic retinopathy from retinal fundus photographsLiu, Y., Yang, L., Phene, S. & Peng, L.
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रिव्यु
Resonate: Reaching Excellence Through Equity, Diversity, and Inclusion in ISMRMWarnert, E. A. H., Kasper, L., Meltzer, C. C., Lightfoote, J. B., Bucknor, M. D., Haroon, H., Duggan, G., Gowland, P., Wald, L., Miller, K. L., Morris, E. A. & Anazodo, U. C.
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रिव्यु
Current and future applications of artificial intelligence in pathology: a clinical perspectiveRakha, E. A., Toss, M., Shiino, S., Gamble, P., Jaroensri, R., Mermel, C. H. & Chen, P.-H. C.
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रिव्यु
Artificial intelligence, machine learning and deep learning for eye care specialistsSayres, R., Hammel, N. & Liu, Y.
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रिव्यु
Artificial intelligence in digital breast pathology: Techniques and applicationsIbrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P.-H. C. & Rakha, E. A.
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रिव्यु
How to Read Articles That Use Machine Learning: Users’ Guides to the Medical LiteratureLiu, Y., Chen, P.-H. C., Krause, J. & Peng, L.
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रिव्यु
Key challenges for delivering clinical impact with artificial intelligenceKelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D.
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रिव्यु
Ensuring Fairness in Machine Learning to Advance Health EquityRajkomar, A., Hardt, M., Howell, M. D., Corrado, G., & Chin, M. H.
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रिव्यु
Artificial Intelligence Approach in MelanomaCuriel-Lewandrowski, C., Novoa, R. A., Berry, E., Celebi, M. E., Codella, N., Giuste, F., Gutman, D., Halpern, A., Leachman, S., Liu, Y., Liu, Y., Reiter, O. & Tschandl, P.
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रिव्यु
How to develop machine learning models for healthcareChen, C. P.-H., Liu, Y., & Peng, L.
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रिव्यु
Machine Learning in MedicineRajkomar, A., Dean, J., & Kohane I.
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रिव्यु
A guide to deep learning in healthcareEsteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S. & Dean, J.
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रिव्यु
When does size matter? -- Promises, pitfalls, and appropriate interpretations of ‘big’ dataRough K, Thompson J.
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रिव्यु
Resolving the Productivity Paradox of Health Information Technology: A Time for OptimismWachter, R. M., Howell, M. D.
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ब्लॉग पोस्ट
Developing reliable AI tools for healthcareby Krishnamurthy (Dj) Dvijotham & Taylan Cemgil
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ब्लॉग पोस्ट
Robust and efficient medical imaging with self-supervisionby Shekoofeh Azizi & Laura Culp
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ब्लॉग पोस्ट
How Underspecification Presents Challenges for Machine Learningby Alex D’Amour & Katherine Heller
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ब्लॉग पोस्ट
Self-Supervised Learning Advances Medical Image Classificationby Shekoofeh Azizi
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पब्लिकेशन
Generative models improve fairness of medical classifiers under distribution shifts.Ktena, I., Wiles, O., Albuquerque, I., Rebuffi, S.-A., Tanno, R., Roy, A. G., Azizi, S., Belgrave, D., Kohli, P., Cemgil, T., Karthikesalingam, A. & Gowal, S.
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पब्लिकेशन
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.Martindale, A. P. L., Ng, B., Ngai, V., Kale, A. U., Ferrante di Ruffano, L., Golub, R. M., Collins, G. S., Moher, D., McCradden, M. D., Oakden-Rayner, L., Rivera, S. C., Calvert, M., Kelly, C. J., Lee, C. S., Yau, C., Chan, A.-W., Keane, P. A., Beam, A. L., Denniston, A. K. & Liu, X.
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पब्लिकेशन
Understanding metric-related pitfalls in image analysis validationReinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M. J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B. A., Farahani, K., Ferrer, L., Galdran, A., van Ginneken, B., Glocker, B., Godau, P., Hashimoto, D. A., Hoffman, M. M., Huisman, M., Isensee, F., Jannin, P., Kahn, C. E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B. A., Litjens, G., Madani, A., Maier-Hein, K., Martel, A. L., Meijering, E., Menze, B., Moons, K. G. M., Müller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S. M., Rajpoot, N., Reyes, M., Riegler, M. A., Rieke, N., Saez-Rodriguez, J., Sánchez, C. I., Shetty, S., Summers, R. M., Taha, A. A., Tiulpin, A., Tsaftaris, S. A., Van Calster, B., Varoquaux, G., Yaniv, Z. R., Jäger, P. F. & Maier-Hein, L.
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पब्लिकेशन
Detecting shortcut learning for fair medical AI using shortcut testingBrown, A., Tomasev, N., Freyberg, J., Liu, Y., Karthikesalingam, A. & Schrouff, J.
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पब्लिकेशन
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to cliniciansDvijotham, K., Winkens, J., Barsbey, M., Ghaisas, S., Stanforth, R., Pawlowski, N., Strachan, P., Ahmed, Z., Azizi, S., Bachrach, Y., Culp, L., Daswani, M., Freyberg, J., Kelly, C., Kiraly, A., Kohlberger, T., McKinney, S., Mustafa, B., Natarajan, V., Geras, K., Witowski, J., Qin, Z. Z., Creswell, J., Shetty, S., Sieniek, M., Spitz, T., Corrado, G., Kohli, P., Cemgil, T. & Karthikesalingam, A.
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पब्लिकेशन
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imagingAzizi, S., Culp, L., Freyberg, J., Mustafa, B., Baur, S., Kornblith, S., Chen, T., Tomasev, N., Mitrović, J., Strachan, P., Mahdavi, S. S., Wulczyn, E., Babenko, B., Walker, M., Loh, A., Chen, P.-H. C., Liu, Y., Bavishi, P., McKinney, S. M., Winkens, J., Roy, A. G., Beaver, Z., Ryan, F., Krogue, J., Etemadi, M., Telang, U., Liu, Y., Peng, L., Corrado, G. S., Webster, D. R., Fleet, D., Hinton, G., Houlsby, N., Karthikesalingam, A., Norouzi, M. & Natarajan, V.
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पब्लिकेशन
Diagnosing failures of fairness transfer across distribution shift in real-world medical settingsSchrouff, J., Harris, N., Koyejo, O. O., Alabdulmohsin, I., Schnider, E., Opsahl-Ong, K., Brown, A., Roy, S., Mincu, D., Chen, C., Dieng, A., Liu, Y., Natarajan, V., Karthikesalingam, A., Heller, K. A., Chiappa, S. & D’Amour, A.
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पब्लिकेशन
Comparing human and AI performance in medical machine learning: An open-source Python library for the statistical analysis of reader study dataMcKinney, S. M.
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पब्लिकेशन
Iterative Quality Control Strategies for Expert Medical Image LabelingFreeman, B., Hammel, N., Phene, S., Huang, A., Ackermann, R., Kanzheleva, O., Hutson, M., Taggart, C., Duong, Q. & Sayres, R.
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पब्लिकेशन
Big Self-Supervised Models Advance Medical Image ClassificationAzizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., Natarajan, V. & Norouzi, M.
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पब्लिकेशन
Privacy-first health research with federated learningSadilek, A., Liu, L., Nguyen, D., Kamruzzaman, M., Serghiou, S., Rader, B., Ingerman, A., Mellem, S., Kairouz, P., Nsoesie, E. O., MacFarlane, J., Vullikanti, A., Marathe, M., Eastham, P., Brownstein, J. S., Arcas, B. A. Y., Howell, M. D. & Hernandez, J.
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पब्लिकेशन
Supervised Transfer Learning at Scale for Medical ImagingMustafa, B., Loh, A., Freyberg, J., MacWilliams, P., Karthikesalingam, A., Houlsby, N. & Natarajan, V.
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पब्लिकेशन
Big Self-Supervised Models Advance Medical Image ClassificationAzizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., Natarajan, V. & Norouzi, M.
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पब्लिकेशन
Underspecification Presents Challenges for Credibility in Modern Machine LearningD’Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., Hormozdiari, F., Houlsby, N., Hou, S., Jerfel, G., Karthikesalingam, A., Lucic, M., Ma, Y., McLean, C., Mincu, D., Mitani, A., Montanari, A., Nado, Z., Natarajan, V., Nielson, C., Osborne, T. F., Raman, R., Ramasamy, K., Sayres, R., Schrouff, J., Seneviratne, M., Sequeira, S., Suresh, H., Veitch, V., Vladymyrov, M., Wang, X., Webster, K., Yadlowsky, S., Yun, T., Zhai, X. & Sculley, D.
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पब्लिकेशन
Contrastive Training for Improved Out-of-Distribution DetectionWinkens, J., Bunel, R., Roy, A. G., Stanforth, R., Natarajan, V., Ledsam, J. R., MacWilliams, P., Kohli, P., Karthikesalingam, A., Kohl, S., Cemgil, T., Ali Eslami, S. M. & Ronneberger, O.
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पब्लिकेशन
Customization scenarios for de-identification of clinical notesHartman, T., Howell, M., Dean, J., Hoory, S., Slyper, R., Laish, I., Gilon, O, Vainstein, D., Corrado, G., Chou, K., Po, M., Williams, J., Ellis, S., Bee, G., Hassidim, A., Amira, R., Beryozkin, G., Szpektor, I., & Matias, Y.
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Health-specific embedding tools for dermatology and pathologyby Dave Steiner & Rory Pilgrim
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Using Deep Learning to Inform Differential Diagnoses of Skin Diseasesby Yuan Liu & Peggy Bui
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पब्लिकेशन
Searching for dermatology information online using images vs text: A randomized studyKrogue, J. D., Sayres, R., Hartford, J., Talreja, A., Bavishi, P., Salaets, N., Raiford, K., Nayar, J., Patel, R., Matias, Y., Corrado, G. S., Berrada, D., Kharbanda, H., Wang, L., Webster, D. R., Duong, Q., Bui, P. & Liu, Y.
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पब्लिकेशन
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case studySchaekermann, M., Spitz, T., Pyles, M., Cole-Lewis, H., Wulczyn, E., Pfohl, S. R., Martin, D., Jr, Jaroensri, R., Keeling, G., Liu, Y., Farquhar, S., Xue, Q., Lester, J., Hughes, C., Strachan, P., Tan, F., Bui, P., Mermel, C. H., Peng, L. H., Matias, Y., Corrado, G. S., Webster, D. R., Virmani, S., Semturs, C., Liu, Y., Horn, I. & Cameron Chen, P.-H.
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Conformal prediction under ambiguous ground truthStutz, D., Roy, A. G., Matejovicova, T., Strachan, P., Cemgil, A. T. & Doucet, A.
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A Reduction to Binary Approach for Debiasing Multiclass Datasets. Advances in Neural Information Processing SystemsAlabdulmohsin, I.M., Schrouff, J., Koyejo, S.
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Federated Training of Dual Encoding Models on Small Non-IID Client DatasetsVemulapalli, R., Morningstar, W. R., Mansfield, P. A., Eichner, H., Singhal, K., Afkanpour, A. & Green, B.
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Machine learning for clinical operations improvement via case triagingHuang, S. J., Liu, Y., Kanada, K., Corrado, G. S., Webster, D. R., Peng, L., Bui, P. & Liu, Y.
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पब्लिकेशन
Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditionsGuha Roy, A., Ren, J., Azizi, S., Loh, A., Natarajan, V., Mustafa, B., Pawlowski, N., Freyberg, J., Liu, Y., Beaver, Z., Vo, N., Bui, P., Winter, S., MacWilliams, P., Corrado, G. S., Telang, U., Liu, Y., Cemgil, T., Karthikesalingam, A., Lakshminarayanan, B. & Winkens, J.
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पब्लिकेशन
Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology PracticesWeng, W.-H., Deaton, J., Natarajan, V., Elsayed, G. F. & Liu, Y.
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पब्लिकेशन
Addressing the Real-world Class Imbalance Problem in DermatologyWeng, W.-H., Deaton, J., Natarajan, V., Elsayed, G. F. & Liu, Y.
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पब्लिकेशन
Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease ClassificationSingh, N., Lee, K., Coz, D., Angermueller, C., Huang, S., Loh, A. & Liu, Y.
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पब्लिकेशन
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पब्लिकेशन
DermGAN: Synthetic Generation of Clinical Skin Images with PathologyGhorbani, A., Natarajan, V., Coz, D. & Liu, Y.
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पब्लिकेशन
Measuring clinician-machine agreement in differential diagnoses for dermatologyEng, C., Liu, Y. & Bhatnagar, R.
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Verily Opens New R&D Center in Israel Focused on the Application of AI in Healthcareby Robin Suchan
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Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screeningsby Daniel Freedman & Ehud Rivlin
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Artificial intelligence for phase recognition in complex laparoscopic cholecystectomyGolany, T., Aides, A., Freedman, D., Rabani, N., Liu, Y., Rivlin, E., Corrado, G. S., Matias, Y., Khoury, W., Kashtan, H. & Reissman, P.
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Detection of elusive polyps via a large-scale artificial intelligence system (with videos)Livovsky, D. M., Veikherman, D., Golany, T., Aides, A., Dashinsky, V., Rabani, N., Ben Shimol, D., Blau, Y., Katzir, L., Shimshoni, I., Liu, Y., Segol, O., Goldin, E., Corrado, G., Lachter, J., Matias, Y., Rivlin, E. & Freedman, D.
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Detecting Deficient Coverage in ColonoscopiesFreedman, D., Blau, Y., Katzir, L., Aides, A., Shimshoni, I., Veikherman, D., Golany, T., Gordon, A., Corrado, G., Matias, Y. & Rivlin, E.
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An ML-Based Framework for COVID-19 Epidemiologyby Joel Shor & Sercan Arik
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Google Cloud, Harvard Global Health Institute release improved COVID-19 Public Forecasts, share lessons learnedby Tomas Pfister
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Google Cloud AI and Harvard Global Health Institute Collaborate on new COVID-19 forecasting modelby Dario Sava
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Algorithmic fairness in pandemic forecasting: lessons from COVID-19Tsai, T. C., Arik, S., Jacobson, B. H., Yoon, J., Yoder, N., Sava, D., Mitchell, M., Graham, G. & Pfister, T.
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पब्लिकेशन
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United StatesCramer, E. Y., Ray, E. L., Lopez, V. K., Bracher, J., Brennen, A., Castro Rivadeneira, A. J., Gerding, A., Gneiting, T., House, K. H., Huang, Y., Jayawardena, D., Kanji, A. H., Khandelwal, A., Le, K., Mühlemann, A., Niemi, J., Shah, A., Stark, A., Wang, Y., Wattanachit, N., Zorn, M. W., Gu, Y., Jain, S., Bannur, N., Deva, A., Kulkarni, M., Merugu, S., Raval, A., Shingi, S., Tiwari, A., White, J., Abernethy, N. F., Woody, S., Dahan, M., Fox, S., Gaither, K., Lachmann, M., Meyers, L. A., Scott, J. G., Tec, M., Srivastava, A., George, G. E., Cegan, J. C., Dettwiller, I. D., England, W. P., Farthing, M. W., Hunter, R. H., Lafferty, B., Linkov, I., Mayo, M. L., Parno, M. D., Rowland, M. A., Trump, B. D., Zhang-James, Y., Chen, S., Faraone, S. V., Hess, J., Morley, C. P., Salekin, A., Wang, D., Corsetti, S. M., Baer, T. M., Eisenberg, M. C., Falb, K., Huang, Y., Martin, E. T., McCauley, E., Myers, R. L., Schwarz, T., Sheldon, D., Gibson, G. C., Yu, R., Gao, L., Ma, Y., Wu, D., Yan, X., Jin, X., Wang, Y.-X., Chen, Y., Guo, L., Zhao, Y., Gu, Q., Chen, J., Wang, L., Xu, P., Zhang, W., Zou, D., Biegel, H., Lega, J., McConnell, S., Nagraj, V. P., Guertin, S. L., Hulme-Lowe, C., Turner, S. D., Shi, Y., Ban, X., Walraven, R., Hong, Q.-J., Kong, S., van de Walle, A., Turtle, J. A., Ben-Nun, M., Riley, S., Riley, P., Koyluoglu, U., DesRoches, D., Forli, P., Hamory, B., Kyriakides, C., Leis, H., Milliken, J., Moloney, M., Morgan, J., Nirgudkar, N., Ozcan, G., Piwonka, N., Ravi, M., Schrader, C., Shakhnovich, E., Siegel, D., Spatz, R., Stiefeling, C., Wilkinson, B., Wong, A., Cavany, S., España, G., Moore, S., Oidtman, R., Perkins, A., Kraus, D., Kraus, A., Gao, Z., Bian, J., Cao, W., Lavista Ferres, J., Li, C., Liu, T.-Y., Xie, X., Zhang, S., Zheng, S., Vespignani, A., Chinazzi, M., Davis, J. T., Mu, K., Pastore Y Piontti, A., Xiong, X., Zheng, A., Baek, J., Farias, V., Georgescu, A., Levi, R., Sinha, D., Wilde, J., Perakis, G., Bennouna, M. A., Nze-Ndong, D., Singhvi, D., Spantidakis, I., Thayaparan, L., Tsiourvas, A., Sarker, A., Jadbabaie, A., Shah, D., Della Penna, N., Celi, L. A., Sundar, S., Wolfinger, R., Osthus, D., Castro, L., Fairchild, G., Michaud, I., Karlen, D., Kinsey, M., Mullany, L. C., Rainwater-Lovett, K., Shin, L., Tallaksen, K., Wilson, S., Lee, E. C., Dent, J., Grantz, K. H., Hill, A. L., Kaminsky, J., Kaminsky, K., Keegan, L. T., Lauer, S. A., Lemaitre, J. C., Lessler, J., Meredith, H. R., Perez-Saez, J., Shah, S., Smith, C. P., Truelove, S. A., Wills, J., Marshall, M., Gardner, L., Nixon, K., Burant, J. C., Wang, L., Gao, L., Gu, Z., Kim, M., Li, X., Wang, G., Wang, Y., Yu, S., Reiner, R. C., Barber, R., Gakidou, E., Hay, S. I., Lim, S., Murray, C., Pigott, D., Gurung, H. L., Baccam, P., Stage, S. A., Suchoski, B. T., Prakash, B. A., Adhikari, B., Cui, J., Rodríguez, A., Tabassum, A., Xie, J., Keskinocak, P., Asplund, J., Baxter, A., Oruc, B. E., Serban, N., Arik, S. O., Dusenberry, M., Epshteyn, A., Kanal, E., Le, L. T., Li, C.-L., Pfister, T., Sava, D., Sinha, R., Tsai, T., Yoder, N., Yoon, J., Zhang, L., Abbott, S., Bosse, N. I., Funk, S., Hellewell, J., Meakin, S. R., Sherratt, K., Zhou, M., Kalantari, R., Yamana, T. K., Pei, S., Shaman, J., Li, M. L., Bertsimas, D., Skali Lami, O., Soni, S., Tazi Bouardi, H., Ayer, T., Adee, M., Chhatwal, J., Dalgic, O. O., Ladd, M. A., Linas, B. P., Mueller, P., Xiao, J., Wang, Y., Wang, Q., Xie, S., Zeng, D., Green, A., Bien, J., Brooks, L., Hu, A. J., Jahja, M., McDonald, D., Narasimhan, B., Politsch, C., Rajanala, S., Rumack, A., Simon, N., Tibshirani, R. J., Tibshirani, R., Ventura, V., Wasserman, L., O’Dea, E. B., Drake, J. M., Pagano, R., Tran, Q. T., Ho, L. S. T., Huynh, H., Walker, J. W., Slayton, R. B., Johansson, M. A., Biggerstaff, M. & Reich, N. G.
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पब्लिकेशन
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and JapanArık, S. Ö., Shor, J., Sinha, R., Yoon, J., Ledsam, J. R., Le, L. T., Dusenberry, M. W., Yoder, N. C., Popendorf, K., Epshteyn, A., Euphrosine, J., Kanal, E., Jones, I., Li, C.-L., Luan, B., Mckenna, J., Menon, V., Singh, S., Sun, M., Ravi, A. S., Zhang, L., Sava, D., Cunningham, K., Kayama, H., Tsai, T., Yoneoka, D., Nomura, S., Miyata, H. & Pfister, T.
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Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural NetworksKapoor, A., Ben, X., Liu, L., Perozzi, B., Barnes, M., Blais, M. & O’Banion, S.
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Interpretable Sequence Learning for Covid-19 ForecastingArik, Li, Yoon, Sinha, Epshteyn, Le, Menon, Singh, Zhang, Nikoltchev, Sonthalia, Nakhost, Kanal & Pfister.
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5 myths about medical AI, debunkedby Kasumi Widner
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An eye to the future: How AI could help to improve detection of eye disease in Australian communitiesby Angus Turner
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Healthcare AI systems that put people at the centerby Emma Beede
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Launching a powerful new screening tool for diabetic eye disease in India -
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AI for Social Good in Asia Pacificby Kent Walter
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Improving the Effectiveness of Diabetic Retinopathy Modelsby Rory Sayres & Jonathan Krause
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A major milestone for the treatment of eye diseaseby Mustafa Suleyman
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Detecting diabetic eye disease with machine learningby Lily Peng
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Deep learning for Detection of Diabetic Eye Diseaseby Lily Peng & Varun Gulshan
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पब्लिकेशन
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective StudyBora, A., Tiwari, R., Bavishi, P., Virmani, S., Huang, R., Traynis, I., Corrado, G. S., Peng, L., Webster, D. R., Varadarajan, A. V., Pattanapongpaiboon, W., Chopra, R. & Ruamviboonsuk, P.
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पब्लिकेशन
Lessons learned from translating AI from development to deployment in healthcareWidner, K., Virmani, S., Krause, J., Nayar, J., Tiwari, R., Pedersen, E. R., Jeji, D., Hammel, N., Matias, Y., Corrado, G. S., Liu, Y., Peng, L. & Webster, D. R.
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पब्लिकेशन
Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide ProgramSrisubat, A., Kittrongsiri, K., Sangroongruangsri, S., Khemvaranan, C., Shreibati, J. B., Ching, J., Hernandez, J., Tiwari, R., Hersch, F., Liu, Y., Hanutsaha, P., Ruamviboonsuk, V., Turongkaravee, S., Raman, R. & Ruamviboonsuk, P.
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पब्लिकेशन
Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous AustraliansChia, M. A., Hersch, F., Sayres, R., Bavishi, P., Tiwari, R., Keane, P. A. & Turner, A. W.
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पब्लिकेशन
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort studyRuamviboonsuk, P., Tiwari, R., Sayres, R., Nganthavee, V., Hemarat, K., Kongprayoon, A., Raman, R., Levinstein, B., Liu, Y., Schaekermann, M., Lee, R., Virmani, S., Widner, K., Chambers, J., Hersch, F., Peng, L. & Webster, D. R.
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पब्लिकेशन
Redesigning Clinical Pathways for Immediate Diabetic Retinopathy Screening ResultsPedersen Elin Rønby, Cuadros Jorge, Khan Mahbuba, Fleischmann Sybille, Wolff Gregory, Hammel Naama, Liu Yun & Leung Geoffrey.
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पब्लिकेशन
Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep LearningWilson, M., Chopra, R., Wilson, M. Z., Cooper, C., MacWilliams, P., Liu, Y., Wulczyn, E., Florea, D., Hughes, C. O., Karthikesalingam, A., Khalid, H., Vermeirsch, S., Nicholson, L., Keane, P. A., Balaskas, K. & Kelly, C. J.
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पब्लिकेशन
Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human GradersLimwattanayingyong, J., Nganthavee, V., Seresirikachorn, K., Singalavanija, T., Soonthornworasiri, N., Ruamviboonsuk, V., Rao, C., Raman, R., Grzybowski, A., Schaekermann, M., Peng, L. H., Webster, D. R., Semturs, C., Krause, J., Sayres, R., Hersch, F., Tiwari, R., Liu, Y. & Ruamviboonsuk, P.
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पब्लिकेशन
Improving medical annotation quality to decrease labeling burden using stratified noisy cross-validationHsu J, Phene S, Mitani A, Luo J, Hammel N, Krause J, Sayres R.
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पब्लिकेशन
Adherence to ophthalmology referral, treatment and follow-up after diabetic retinopathy screening in the primary care settingBresnick, G., Cuadros, J. A., Khan, M., Fleischmann, S., Wolff, G., Limon, A., Chang, J., Jiang, L., Cuadros, P. & Pedersen, E. R.
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पब्लिकेशन
A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic RetinopathyBeede, E., Baylor, E., Hersch, F., Iurchenko, A., Wilcox, L., Ruamviboonsuk, P. & Vardoulakis, L. M.
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पब्लिकेशन
Expert Discussions Improve Comprehension of Difficult Cases in Medical Image AssessmentSchaekermann, M., Cai, C. J., Huang, A. E. & Sayres, R.
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पब्लिकेशन
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus PhotographsPhene, S., Dunn, R. C., Hammel, N., Liu, Y., Krause, J., Kitade, N., Schaekermann, M., Sayres, R., Wu, D. J., Bora, A., Semturs, C., Misra, A., Huang, A. E., Spitze, A., Medeiros, F. A., Maa, A. Y., Gandhi, M., Corrado, G. S., Peng, L. & Webster, D. R.
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पब्लिकेशन
Remote Tool-Based Adjudication for Grading Diabetic RetinopathySchaekermann, M., Hammel, N., Terry, M., Ali, T. K., Liu, Y., Basham, B., Campana, B., Chen, W., Ji, X., Krause, J., Corrado, G. S., Peng, L., Webster, D. R., Law, E. & Sayres, R.
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पब्लिकेशन
Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in IndiaGulshan, V., Rajan, R. P., Widner, K., Wu, D., Wubbels, P., Rhodes, T., Whitehouse, K., Coram, M., Corrado, G., Ramasamy, K., Raman, R., Peng, L. & Webster, D. R.
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पब्लिकेशन
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening programRuamviboonsuk, P., Krause, J., Chotcomwongse, P., Sayres, R., Raman, R., Widner, K., Campana, B. J. L., Phene, S., Hemarat, K., Tadarati, M., Silpa-Archa, S., Limwattanayingyong, J., Rao, C., Kuruvilla, O., Jung, J., Tan, J., Orprayoon, S., Kangwanwongpaisan, C., Sukumalpaiboon, R., Luengchaichawang, C., Fuangkaew, J., Kongsap, P., Chualinpha, L., Saree, S., Kawinpanitan, S., Mitvongsa, K., Lawanasakol, S., Thepchatri, C., Wongpichedchai, L., Corrado, G. S., Peng, L. & Webster, D. R.
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पब्लिकेशन
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic RetinopathySayres, R., Taly, A., Rahimy, E., Blumer, K., Coz, D., Hammel, N., Krause, J., Narayanaswamy, A., Rastegar, Z., Wu, D., Xu, S., Barb, S., Joseph, A., Shumski, M., Smith, J., Sood, A. B., Corrado, G. S., Peng, L. & Webster, D. R.
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पब्लिकेशन
Clinically applicable deep learning for diagnosis and referral in retinal diseaseFauw, J., Ledsam, J.R., Romera-Paredes, B., Nikolov, S., Tomasev, N., Blackwell, S., Askham, H., Glorot, X., O’Donoghue, B., Visentin, D., van den Driessche, G., Lakshminarayanan, B., Meyer, C., Mackinder, F., Bouton, S., Ayoub, K., Chopra, R., King, D., Karthikesalingam, A., Hughes, C.O., Raine, R., Hughes, J., Sim, D. A., Egan, C., Tufail, A., Montgomery, H., Hassabis, D., Rees, G., Back, T., Khaw, P.T., Suleyman, M., Cornebise, J., Keane, P.A., & Ronneberger, O.
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पब्लिकेशन
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic RetinopathyKrause, J., Gulshan, V., Rahimy, E., Karth, P., Widner, K., Corrado, G. S., Peng, L., & Webster, D.R.
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पब्लिकेशन
Blind spots in telemedicine: a qualitative study of staff workarounds to resolve gaps in diabetes managementBouskill, K., Smith-Morris, C., Bresnick, G., Cuadros, J. & Pedersen, E. R.
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पब्लिकेशन
Diabetic Retinopathy and the Cascade into Vision LossSmith-Morris, C., Bresnick, G. H., Cuadros, J., Bouskill, K. E. & Pedersen, E. R.
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पब्लिकेशन
Who Said What: Modeling Individual Labelers Improves ClassificationGuan, M., Gulshan, V., Dai, A, Hinton, G.
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पब्लिकेशन
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographsGulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., Venugopalan, S., Widner, K., Madams, T., Cuadros, J., Ramasamy, K., Nelson, P., Mega, J., & Webster, D.
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ब्लॉग पोस्ट [ज़्यादा जानकारी के लिए, Google Keyword ब्लॉग पर जाएं]
Loss of Pulse Detection: A first-of-its-kind feature on Pixel Watch 3by Tajinder Gadh & Pramod Rudrapatna
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ब्लॉग पोस्ट
A new study using Fitbit data uncovers connections between sleep and diseaseby Logan Schneider & Evan Brittain
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ब्लॉग पोस्ट
Health partners can now more easily access Fitbit heart databy Kapil Parakh
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ब्लॉग पोस्ट
How Fitbit can help you measure stress — and use it to your advantageby Molly McHugh-Johnson
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ब्लॉग पोस्ट
How we’re using AI to connect people to health information -
ब्लॉग पोस्ट
3 heart-health tips from Fitbit’s lead cardiologistby Molly McHugh-Johnson
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ब्लॉग पोस्ट
6 things I learned after using the Fitbit Charge 6 for a weekby Mike Darling
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ब्लॉग पोस्ट
New Fitbit study explores metabolic healthby Javier L. Prieto
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ब्लॉग पोस्ट [इस बारे में ज़्यादा जानकारी के लिए, Fitbit ब्लॉग पर जाएं]
3 ways Fitbit can improve your health — backed by researchby Amy McDonough
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ब्लॉग पोस्ट
How Google Pixel Watch 2 and Fitbit Charge 6 improved heart rate trackingby Molly McHugh-Johnson
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ब्लॉग पोस्ट
Google Pixel Watch 2: New ways to stay healthy, connected and safeby Sandeep Waraich
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ब्लॉग पोस्ट
Introducing Fitbit Charge 6: Our most advanced tracker yetby TJ Varghese
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ब्लॉग पोस्ट
Meet the new Fitbit app that’s redesigned with you in mindby Maggie Stanphill & Bhanu Narasimhan
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ब्लॉग पोस्ट
How we trained Fitbit’s Body Response feature to detect stressby Elena Perez & Samy Abdel-Ghaffer
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ब्लॉग पोस्ट
7 ways to stress less with Fitbitby Elena Perez
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ब्लॉग पोस्ट
3 ways Google products can help you feel less stressedby Megan Jones Bell
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ब्लॉग पोस्ट
6 ways Google AI is helping you sleep betterby Molly McHugh-Johnson
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ब्लॉग पोस्ट
3 ways to take better care of your mind and body in 2023by Megan Jones Bell
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ब्लॉग पोस्ट
8 things we launched in 2022 to support your healthby Iz Conroy
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ब्लॉग पोस्ट
I tried Fitbit’s new sleep features for two monthsby Zahra Barnes
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ब्लॉग पोस्ट
Google Pixel Watch: Help by Google, health by Fitbitby Sandeep Waraich
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ब्लॉग पोस्ट
8 things to try now on Fitbit Sense 2 and Versa 4by TJ Varghese
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ब्लॉग पोस्ट
Our work toward health equityby Ivor Horn
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ब्लॉग पोस्ट
Fitbit’s fall lineup: helping you live your healthiest lifeby TJ Varghese
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ब्लॉग पोस्ट
Kick-start your fitness routine with Fitbit Inspire 3by The Fitbit Team
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ब्लॉग पोस्ट
Manage your health and fitness with Fitbit Versa 4 and Sense 2by The Fitbit Team
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ब्लॉग पोस्ट
Improve your ZZZs with Fitbit Premium Sleep Profileby The Fitbit Team
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ब्लॉग पोस्ट
Mental health resources you can count onby Megan Jones Bell
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ब्लॉग पोस्ट
New Fitbit feature makes AFib detection more accessibleby The Fitbit Team
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ब्लॉग पोस्ट
The Check Up: helping people live healthier livesby Karen DeSalvo
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पब्लिकेशन
Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research ProgramZheng, N. S., Annis, J., Master, H., Han, L., Gleichauf, K., Ching, J. H., Nasser, M., Coleman, P., Desine, S., Ruderfer, D. M., Hernandez, J., Schneider, L. D. & Brittain, E. L.
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पब्लिकेशन
Measure by measure: Resting heart rate across the 24-hour cycleSpeed, C., Arneil, T., Harle, R., Wilson, A., Karthikesalingam, A., McConnell, M. & Phillips, J.
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पब्लिकेशन
Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart StudyLubitz, S. A., Faranesh, A. Z., Selvaggi, C., Atlas, S. J., McManus, D. D., Singer, D. E., Pagoto, S., McConnell, M. V., Pantelopoulos, A. & Foulkes, A. S.
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पब्लिकेशन
Occurrence of Relative Bradycardia and Relative Tachycardia in Individuals Diagnosed With COVID-19Natarajan, A., Su, H.-W. & Heneghan, C.
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पब्लिकेशन
Measurement of respiratory rate using wearable devices and applications to COVID-19 detectionNatarajan, A., Su, H.-W., Heneghan, C., Blunt, L., O’Connor, C. & Niehaus, L.
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ब्लॉग पोस्ट [इस बारे में ज़्यादा जानकारी के लिए, DeepVariant ब्लॉग पर जाएं]
Learning DeepVariant's hidden powersby Atilla Kiraly & Yuchen Zhou
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ब्लॉग पोस्ट
A breakthrough to better represent human genetic diversityby Andrew Carroll
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ब्लॉग पोस्ट
Building better pangenomes to improve the equity of genomicsby Andrew Carroll & Kishwar Shafin
-
ब्लॉग पोस्ट
An ML-based approach to better characterize lung diseasesBabak Behsaz & Andrew Carroll
-
ब्लॉग पोस्ट
Developing an aging clock using deep learning on retinal imagesby Sara Ahadi & Andrew Carroll
-
ब्लॉग पोस्ट
7 ways Google is using AI to help solve society's challengesby Katie Malczyk
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ब्लॉग पोस्ट
A new genome sequencing tool powered with our technologyby Andrew Carroll
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ब्लॉग पोस्ट
Advancing genomics to better understand and treat diseaseby Andrew Carroll & Pi-Chuan Chang
-
ब्लॉग पोस्ट
DeepNull: an open-source method to improve the discovery power of genetic association studiesby Farhad Hormozdiari & Andrew Carroll
-
ब्लॉग पोस्ट
Improving Genomic Discovery with Machine Learningby Andrew Carroll & Cory McLean
-
ब्लॉग पोस्ट
Improving the Accuracy of Genomic Analysis with DeepVariant 1.0by Andrew Carroll & Pi-Chuan Chang
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ब्लॉग पोस्ट
DeepVariant Accuracy Improvements for Genetic Datatypesby Pi-Chuan Chang & Lizzie Dorfman
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ब्लॉग पोस्ट
DeepVariant: Highly Accurate Genomes With Deep Neural Networksby Mark DePristo & Ryan Poplin
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ब्लॉग पोस्ट
An AI Resident at work: Suhani Vora and her work on genomicsby Phing Lee
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पब्लिकेशन
Personalized pangenome referencesSirén, J., Eskandar, P., Ungaro, M. T., Hickey, G., Eizenga, J. M., Novak, A. M., Chang, X., Chang, P.-C., Kolmogorov, M., Carroll, A., Monlong, J. & Paten, B.
-
पब्लिकेशन
Local read haplotagging enables accurate long-read small variant callingKolesnikov, A., Cook, D., Nattestad, M. et al.
-
पब्लिकेशन
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and predictionYun, T., Cosentino, J., Behsaz, B., McCaw, Z. R., Hill, D., Luben, R., Lai, D., Bates, J., Yang, H., Schwantes-An, T.-H., Zhou, Y., Khawaja, A. P., Carroll, A., Hobbs, B. D., Cho, M. H., McLean, C. Y. & Hormozdiari, F.
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पब्लिकेशन
Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylationKolmogorov, M., Billingsley, K. J., Mastoras, M., Meredith, M., Monlong, J., Lorig-Roach, R., Asri, M., Alvarez Jerez, P., Malik, L., Dewan, R., Reed, X., Genner, R. M., Daida, K., Behera, S., Shafin, K., Pesout, T., Prabakaran, J., Carnevali, P., Yang, J., Rhie, A., Scholz, S. W., Traynor, B. J., Miga, K. H., Jain, M., Timp, W., Phillippy, A. M., Chaisson, M., Sedlazeck, F. J., Blauwendraat, C. & Paten, B.
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पब्लिकेशन
The complete sequence of a human Y chromosomeRhie, A., Nurk, S., Cechova, M., Hoyt, S. J., Taylor, D. J., Altemose, N., Hook, P. W., Koren, S., Rautiainen, M., Alexandrov, I. A., Allen, J., Asri, M., Bzikadze, A. V., Chen, N.-C., Chin, C.-S., Diekhans, M., Flicek, P., Formenti, G., Fungtammasan, A., Garcia Giron, C., Garrison, E., Gershman, A., Gerton, J. L., Grady, P. G. S., Guarracino, A., Haggerty, L., Halabian, R., Hansen, N. F., Harris, R., Hartley, G. A., Harvey, W. T., Haukness, M., Heinz, J., Hourlier, T., Hubley, R. M., Hunt, S. E., Hwang, S., Jain, M., Kesharwani, R. K., Lewis, A. P., Li, H., Logsdon, G. A., Lucas, J. K., Makalowski, W., Markovic, C., Martin, F. J., Mc Cartney, A. M., McCoy, R. C., McDaniel, J., McNulty, B. M., Medvedev, P., Mikheenko, A., Munson, K. M., Murphy, T. D., Olsen, H. E., Olson, N. D., Paulin, L. F., Porubsky, D., Potapova, T., Ryabov, F., Salzberg, S. L., Sauria, M. E. G., Sedlazeck, F. J., Shafin, K., Shepelev, V. A., Shumate, A., Storer, J. M., Surapaneni, L., Taravella Oill, A. M., Thibaud-Nissen, F., Timp, W., Tomaszkiewicz, M., Vollger, M. R., Walenz, B. P., Watwood, A. C., Weissensteiner, M. H., Wenger, A. M., Wilson, M. A., Zarate, S., Zhu, Y., Zook, J. M., Eichler, E. E., O’Neill, R. J., Schatz, M. C., Miga, K. H., Makova, K. D. & Phillippy, A. M.
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पब्लिकेशन
A draft human pangenome referenceLiao, W.-W., Asri, M., Ebler, J., Doerr, D., Haukness, M., Hickey, G., Lu, S., Lucas, J. K., Monlong, J., Abel, H. J., Buonaiuto, S., Chang, X. H., Cheng, H., Chu, J., Colonna, V., Eizenga, J. M., Feng, X., Fischer, C., Fulton, R. S., Garg, S., Groza, C., Guarracino, A., Harvey, W. T., Heumos, S., Howe, K., Jain, M., Lu, T.-Y., Markello, C., Martin, F. J., Mitchell, M. W., Munson, K. M., Mwaniki, M. N., Novak, A. M., Olsen, H. E., Pesout, T., Porubsky, D., Prins, P., Sibbesen, J. A., Sirén, J., Tomlinson, C., Villani, F., Vollger, M. R., Antonacci-Fulton, L. L., Baid, G., Baker, C. A., Belyaeva, A., Billis, K., Carroll, A., Chang, P.-C., Cody, S., Cook, D. E., Cook-Deegan, R. M., Cornejo, O. E., Diekhans, M., Ebert, P., Fairley, S., Fedrigo, O., Felsenfeld, A. L., Formenti, G., Frankish, A., Gao, Y., Garrison, N. A., Giron, C. G., Green, R. E., Haggerty, L., Hoekzema, K., Hourlier, T., Ji, H. P., Kenny, E. E., Koenig, B. A., Kolesnikov, A., Korbel, J. O., Kordosky, J., Koren, S., Lee, H., Lewis, A. P., Magalhães, H., Marco-Sola, S., Marijon, P., McCartney, A., McDaniel, J., Mountcastle, J., Nattestad, M., Nurk, S., Olson, N. D., Popejoy, A. B., Puiu, D., Rautiainen, M., Regier, A. A., Rhie, A., Sacco, S., Sanders, A. D., Schneider, V. A., Schultz, B. I., Shafin, K., Smith, M. W., Sofia, H. J., Abou Tayoun, A. N., Thibaud-Nissen, F., Tricomi, F. F., Wagner, J., Walenz, B., Wood, J. M. D., Zimin, A. V., Bourque, G., Chaisson, M. J. P., Flicek, P., Phillippy, A. M., Zook, J. M., Eichler, E. E., Haussler, D., Wang, T., Jarvis, E. D., Miga, K. H., Garrison, E., Marschall, T., Hall, I. M., Li, H. & Paten, B.
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पब्लिकेशन
Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk modelsCosentino, J., Behsaz, B., Alipanahi, B., McCaw, Z. R., Hill, D., Schwantes-An, T.-H., Lai, D., Carroll, A., Hobbs, B. D., Cho, M. H., McLean, C. Y. & Hormozdiari, F.
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पब्लिकेशन
Best: A Tool for Characterizing Sequencing ErrorsLiu, D., Belyaeva, A., Shafin, K., Chang, P.-C., Carroll, A. & Cook, D. E.
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पब्लिकेशन
Knowledge distillation for fast and accurate DNA sequence correction.Belyaeva, A., Shor, J., Cook, D. E., Shafin, K., Liu, D., Töpfer, A., Wenger, A. M., Rowell, W. J., Yang, H., Kolesnikov, A., McLean, C. Y., Nattestad, M., Carroll, A. & Chang, P.-C.
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पब्लिकेशन
An Empirical Study of ML-based Phenotyping and Denoising for Improved Genomic DiscoveryYuan, B., McLean, C. Y., Hormozdiari, F. I. & Cosentino, J.
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पब्लिकेशन
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformerBaid, G., Cook, D. E., Shafin, K., Yun, T., Llinares-López, F., Berthet, Q., Belyaeva, A., Töpfer, A., Wenger, A. M., Rowell, W. J., Yang, H., Kolesnikov, A., Ammar, W., Vert, J.-P., Vaswani, A., McLean, C. Y., Nattestad, M., Chang, P.-C. & Carroll, A.
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पब्लिकेशन
Benchmarking challenging small variants with linked and long readsWagner, J., Olson, N. D., Harris, L., Khan, Z., Farek, J., Mahmoud, M., Stankovic, A., Kovacevic, V., Yoo, B., Miller, N., Rosenfeld, J. A., Ni, B., Zarate, S., Kirsche, M., Aganezov, S., Schatz, M. C., Narzisi, G., Byrska-Bishop, M., Clarke, W., Evani, U. S., Markello, C., Shafin, K., Zhou, X., Sidow, A., Bansal, V., Ebert, P., Marschall, T., Lansdorp, P., Hanlon, V., Mattsson, C.-A., Barrio, A. M., Fiddes, I. T., Xiao, C., Fungtammasan, A., Chin, C.-S., Wenger, A. M., Rowell, W. J., Sedlazeck, F. J., Carroll, A., Salit, M. & Zook, J. M.
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पब्लिकेशन
A complete pedigree-based graph workflow for rare candidate variant analysisMarkello, C., Huang, C., Rodriguez, A., Carroll, A., Chang, P.-C., Eizenga, J., Markello, T., Haussler, D. & Paten, B.
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पब्लिकेशन
Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencingGoenka, S. D., Gorzynski, J. E., Shafin, K., Fisk, D. G., Pesout, T., Jensen, T. D., Monlong, J., Chang, P.-C., Baid, G., Bernstein, J. A., Christle, J. W., Dalton, K. P., Garalde, D. R., Grove, M. E., Guillory, J., Kolesnikov, A., Nattestad, M., Ruzhnikov, M. R. Z., Samadi, M., Sethia, A., Spiteri, E., Wright, C. J., Xiong, K., Zhu, T., Jain, M., Sedlazeck, F. J., Carroll, A., Paten, B. & Ashley, E. A.
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पब्लिकेशन
Ultrarapid Nanopore Genome Sequencing in a Critical Care SettingGorzynski, J. E., Goenka, S. D., Shafin, K., Jensen, T. D., Fisk, D. G., Grove, M. E., Spiteri, E., Pesout, T., Monlong, J., Baid, G., Bernstein, J. A., Ceresnak, S., Chang, P.-C., Christle, J. W., Chubb, H., Dalton, K. P., Dunn, K., Garalde, D. R., Guillory, J., Knowles, J. W., Kolesnikov, A., Ma, M., Moscarello, T., Nattestad, M., Perez, M., Ruzhnikov, M. R. Z., Samadi, M., Setia, A., Wright, C., Wusthoff, C. J., Xiong, K., Zhu, T., Jain, M., Sedlazeck, F. J., Carroll, A., Paten, B. & Ashley, E. A.
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पब्लिकेशन
Ultra-Rapid Nanopore Whole Genome Genetic Diagnosis of Dilated Cardiomyopathy in an Adolescent With Cardiogenic ShockGorzynski, J. E., Goenka, S. D., Shafin, K., Jensen, T. D., Fisk, D. G., Grove, M. E., Spiteri, E., Pesout, T., Monlong, J., Bernstein, J. A., Ceresnak, S., Chang, P.-C., Christle, J. W., Chubb, H., Dunn, K., Garalde, D. R., Guillory, J., Ruzhnikov, M. R. Z., Wright, C., Wusthoff, C. J., Xiong, K., Hollander, S. A., Berry, G. J., Jain, M., Sedlazeck, F. J., Carroll, A., Paten, B. & Ashley, E. A.
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पब्लिकेशन
Pangenomics enables genotyping of known structural variants in 5202 diverse genomesSirén, J., Monlong, J., Chang, X., Novak, A. M., Eizenga, J. M., Markello, C., Sibbesen, J. A., Hickey, G., Chang, P.-C., Carroll, A., Gupta, N., Gabriel, S., Blackwell, T. W., Ratan, A., Taylor, K. D., Rich, S. S., Rotter, J. I., Haussler, D., Garrison, E. & Paten, B.
-
पब्लिकेशन
DeepNull models non-linear covariate effects to improve phenotypic prediction and association powerMcCaw, Z. R., Colthurst, T., Yun, T., Furlotte, N. A., Carroll, A., Alipanahi, B., McLean, C. Y. & Hormozdiari, F.
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पब्लिकेशन
A population-specific reference panel for improved genotype imputation in African AmericansO’Connell, J., Yun, T., Moreno, M., Li, H., Litterman, N., Kolesnikov, A., Noblin, E., Chang, P.-C.,Shastri, A., Dorfman, E. H., Shringarpure, S., Auton, A., Carroll, A. & McLean, C. Y.
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पब्लिकेशन
Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-readsShafin, K., Pesout, T., Chang, P.-C., Nattestad, M., Kolesnikov, A., Goel, S., Baid, G., Kolmogorov, M., Eizenga, J. M., Miga, K. H., Carnevali, P., Jain, M., Carroll, A. & Paten, B.
-
पब्लिकेशन
DeepConsensus: Gap-Aware Sequence Transformers for Sequence CorrectionBaid, G., Cook, D. E., Shafin, K., Yun, T., Llinares-López, F., Berthet, Q., Wenger, A. M., Rowell, W. J., Nattestad, M., Yang, H., Kolesnikov, A., Töpfer, A., Ammar, W., Vert, J.-P., Vaswani, A., McLean, C. Y., Chang, P.-C. & Carroll, A.
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पब्लिकेशन
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphologyAlipanahi, B., Hormozdiari, F., Behsaz, B., Cosentino, J., McCaw, Z. R., Schorsch, E., Sculley, D., Dorfman, E. H., Foster, P. J., Peng, L. H., Phene, S., Hammel, N., Carroll, A., Khawaja, A. P. & McLean, C. Y.
-
पब्लिकेशन
Accurate, scalable cohort variant calls using DeepVariant and GLnexusYun, T., Li, H., Chang, P-C., Lin, M., Carroll, A., & McLean, C. Y.
-
पब्लिकेशन
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic RegressionYadlowsky, S., Yun, T., McLean, C. & D’Amour, A.
-
पब्लिकेशन
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphologyAlipanahi, B., Hormozdiari, F., Behsaz, B., Cosentino, J., McCaw, Z. R., Schorsch, E., Sculley, D., Dorfman, E. H., Phene, S., Hammel, N., Carroll, A., Khawaja, A. P. & McLean, C. Y.
-
पब्लिकेशन
GenomeWarp: an alignment-based variant coordinate transformationMcLean, C. Y., Hwang, Y., Poplin, R. & DePristo, M. A.
-
पब्लिकेशन
Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genomeWenger, A. M., Peluso, P., Rowell, W. J., Chang, P.-C., Hall, R. J., Concepcion, G. T., Ebler, J., Fungtammasan, A., Kolesnikov, A., Olson, N. D., Töpfer, A., Alonge, M., Mahmoud, M., Qian, Y., Chin, C.-S., Phillippy, A. M., Schatz, M. C., Myers, G., DePristo, M. A., Ruan, J., Marschall, T., Sedlazeck, F. J., Zook, J. M., Li, H., Koren, S., Carroll, A., Rank, D. R. & Hunkapiller, M. W.
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पब्लिकेशन
A universal SNP and small-indel variant caller using deep neural networksPoplin, R., Chang, P.-C., Alexander, D., Schwartz, S., Colthurst, T., Ku, A., Newburger, D., Dijamco, J., Nguyen, N., Afshar, P. T., Gross, S. S., Dorfman, L., McLean, C. Y. & DePristo, M. A.
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पब्लिकेशन
Deep learning of genomic variation and regulatory network dataTelenti, A., Lippert, C., Chang, P.-C. & DePristo, M.
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पब्लिकेशन
Sequential regulatory activity prediction across chromosomes with convolutional neural networksKelley, D. R., Reshef, Y. A., Bileschi, M., Belanger, D., McLean, C. Y. & Snoek, J.
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ब्लॉग पोस्ट
Expanding research on digital wellbeingby Nicholas Allen
-
ब्लॉग पोस्ट
Advancing health research with Google Health Studiesby Jon Morgan & Paul Eastham
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ब्लॉग पोस्ट
What does electrodermal sensing reveal? Insights from the Pixel Watch & Fitbit Sense 2by Daniel McDuff & Seamus Thomson
-
ब्लॉग पोस्ट
Predicting fetal well-being from cardiotocography signals using AIby Mercy Asiedu & Nichole Young-Lin
-
ब्लॉग पोस्ट
How we built and tested body temperature on Pixel 8 Proby Molly McHugh-Johnson
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ब्लॉग पोस्ट
New Pixel features for a minty fresh start to the yearby Stephanie Scott
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ब्लॉग पोस्ट
Audioplethysmography for cardiac monitoring with hearable devicesby Xiaoran "Van" Fan & Trausti Thormundsson
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ब्लॉग पोस्ट
The Check Up: our latest health AI developmentsby Greg Corrado
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ब्लॉग पोस्ट
Enhanced Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
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ब्लॉग पोस्ट
Accelerating Eye Movement Research for Wellness and Accessibilityby Nachiappan Valliappan, & Kai Kohlhoff
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ब्लॉग पोस्ट
Need a better night’s sleep? Meet the new Nest Hubby Ashton Udall
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ब्लॉग पोस्ट
Contactless Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
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ब्लॉग पोस्ट
Take a pulse on health and wellness with your phoneby Shwetak Patel
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पब्लिकेशन
Smartphone-based gaze estimation for in-home autism researchKim, N. Y., He, J., Wu, Q., Dai, N., Kohlhoff, K., Turner, J., Paul, L. K., Kennedy, D. P., Adolphs, R. & Navalpakkam, V.
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पब्लिकेशन
Soli-enabled noncontact heart rate detection for sleep and meditation trackingXu, L., Lien, J., Li, H., Gillian, N., Nongpiur, R., Li, J., Zhang, Q., Cui, J., Jorgensen, D., Bernstein, A., Bedal, L., Hayashi, E., Yamanaka, J., Lee, A., Wang, J., Shin, D., Poupyrev, I., Thormundsson, T., Pathak, A. & Patel, S.
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पब्लिकेशन
Audioplethysmography for Cardiac Monitoring in HearablesFan, X., Pearl, D., Howard, R., Shangguan, L. & Thormundsson, T. APG.
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पब्लिकेशन
SimPer: Simple Self-Supervised Learning of Periodic TargetsYang, Y., Liu, X., Wu, J., Borac, S., Katabi, D., Poh, M.-Z. & McDuff, D.
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पब्लिकेशन
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithmsBae, S., Borac, S., Emre, Y., Wang, J., Wu, J., Kashyap, M., Kang, S.-H., Chen, L., Moran, M., Cannon, J., Teasley, E. S., Chai, A., Liu, Y., Wadhwa, N., Krainin, M., Rubinstein, M., Maciel, A., McConnell, M. V., Patel, S., Corrado, G. S., Taylor, J. A., Zhan, J. & Po, M. J.
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पब्लिकेशन
LuckyChirp: Opportunistic Respiration Sensing Using Cascaded Sonar on Commodity Devices.Xue, Q. S., Shin, D., Pathak, A., Garrison, J., Hsu, J., Malhotra, M. & Patel, S.
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पब्लिकेशन
Sleep-wake Detection With a Contactless, Bedside Radar Sleep Sensing SystemDixon, M., Schneider, L. D., Yu, J., Hsu, J., Pathak, A., Shin, D., Lee, R. S., Malhotra, M., Mixter, K., McConnell, M. V., Taylor, J. A., Patel, S. N.,
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पब्लिकेशन
Digital biomarker of mental fatigueTseng, V. W.-S., Valliappan, N., Ramachandran, V., Choudhury, T. & Navalpakkam, V.
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पब्लिकेशन
Accelerating eye movement research via accurate and affordable smartphone eye tracking.Valliappan, N., Dai, N., Steinberg, E., He, J., Rogers, K., Ramachandran, V., Xu, P., Shojaeizadeh, M., Guo, L., Kohlhoff, K. & Navalpakkam, V.
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ब्लॉग पोस्ट [इस बारे में ज़्यादा जानकारी के लिए, Med-PaLM site पर जाएं]
Exploring how AI tools can help increase high-quality health contentby Garth Graham & Viknesh Sounderajah
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ब्लॉग पोस्ट
How gen AI can help doctors and nurses ease their administrative workloadsby Aashima Gupta
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ब्लॉग पोस्ट
Advancing personal health and wellness insights with AIby Shwetak Patel & Shravya Shetty
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ब्लॉग पोस्ट
Google Research at Google I/O 2024by Yossi Matias & James Manyika
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ब्लॉग पोस्ट
Advancing medical AI with Med-Geminiby Greg Corrado & Joëlle Barral
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ब्लॉग पोस्ट
Our progress on generative AI in healthby Yossi Matias
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ब्लॉग पोस्ट
3 ways we are building equity into our health workby Dr. Ivor Horn
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ब्लॉग पोस्ट
AMIE: A research AI system for diagnostic medical reasoning and conversationsby Alan Karthikesalingam & Vivek Natarajan
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ब्लॉग पोस्ट
3 predictions for AI in healthcare in 2024by Aashima Gupta
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ब्लॉग पोस्ट
MedLM: generative AI fine-tuned for the healthcare industryby Yossi Matias & Aashima Gupta
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ब्लॉग पोस्ट [más en el sitio Med-PaLM]
HLTH 2023: Bringing AI to health responsiblyby Michael Howell
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ब्लॉग पोस्ट
How AI can improve health for everyone, everywhereby Karen DeSalvo
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ब्लॉग पोस्ट
How 3 healthcare organizations are using generative AIby Aashima Gupta & Greg Corrado
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ब्लॉग पोस्ट
Multimodal medical AIby Greg Corrado and Yossi Matias
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ब्लॉग पोस्ट
Google Research at I/O 2023by James Manyika & Jeff Dean
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ब्लॉग पोस्ट
A responsible path to generative AI in healthcareby Aashima Gupta & Amy Waldron
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ब्लॉग पोस्ट
Our latest health AI research updatesby Greg Corrado & Yossi Matias
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ब्लॉग पोस्ट
Google Research, 2022 & beyond: Healthby Greg Corrado & Yossi Matias
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पब्लिकेशन
Scaling wearable foundation modelsNarayanswamy, G., Liu, X., Ayush, K., Yang, Y., Xu, X., Liao, S., Garrison, J., Tailor, S., Sunshine, J., Liu, Y., Althoff, T., Narayanan, S., Kohli, P., Zhan, J., Malhotra, M., Patel, S., Abdel-Ghaffar, S. & McDuff, D.
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पब्लिकेशन
Towards Democratization of Subspeciality Medical ExpertiseO'Sullivan, J.W., Palepu, A., Saab, K., Weng, W.H., Cheng, Y., Chu, E., Desai, Y., Elezaby, A., Kim, D.S., Lan, R. and Tang, W., 2024.
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पब्लिकेशन
A toolbox for surfacing health equity harms and biases in large language modelsPfohl, S. R., Cole-Lewis, H., Sayres, R., Neal, D., Asiedu, M., Dieng, A., Tomasev, N., Rashid, Q. M., Azizi, S., Rostamzadeh, N., McCoy, L. G., Celi, L. A., Liu, Y., Schaekermann, M., Walton, A., Parrish, A., Nagpal, C., Singh, P., Dewitt, A., Mansfield, P., Prakash, S., Heller, K., Karthikesalingam, A., Semturs, C., Barral, J., Corrado, G., Matias, Y., Smith-Loud, J., Horn, I. & Singhal, K.
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पब्लिकेशन
PathAlign: A vision-language model for whole slide images in histopathologyAhmed, F., Sellergren, A., Yang, L., Xu, S., Babenko, B., Ward, A., Olson, N., Mohtashamian, A., Matias, Y., Corrado, G. S., Duong, Q., Webster, D. R., Shetty, S., Golden, D., Liu, Y., Steiner, D. F. & Wulczyn, E.
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पब्लिकेशन
Towards a Personal Health Large Language ModelCosentino, J., Belyaeva, A., Liu, X., Furlotte, N. A., Yang, Z., Lee, C., Schenck, E., Patel, Y., Cui, J., Schneider, L. D., Bryant, R., Gomes, R. G., Jiang, A., Lee, R., Liu, Y., Perez, J., Rogers, J. K., Speed, C., Tailor, S., Walker, M., Yu, J., Althoff, T., Heneghan, C., Hernandez, J., Malhotra, M., Stern, L., Matias, Y., Corrado, G. S., Patel, S., Shetty, S., Zhan, J., Prabhakara, S., McDuff, D. & McLean, C. Y.
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पब्लिकेशन
Transforming Wearable Data into Health Insights using Large Language Model AgentsMerrill, M. A., Paruchuri, A., Rezaei, N., Kovacs, G., Perez, J., Liu, Y., Schenck, E., Hammerquist, N., Sunshine, J., Tailor, S., Ayush, K., Su, H.-W., He, Q., McLean, C. Y., Malhotra, M., Patel, S., Zhan, J., Althoff, T., McDuff, D. & Liu, X.
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पब्लिकेशन
Tx-LLM: A Large Language Model for TherapeuticsChaves, J. M. Z., Wang, E., Tu, T., Vaishnav, E. D., Lee, B., Sara Mahdavi, S., Semturs, C., Fleet, D., Natarajan, V. & Azizi, S.
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पब्लिकेशन
Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM.Li, B., Wang, A., Strachan, P., Séguin, J. A., Lachgar, S., Schroeder, K. C., Fleck, M. S., Wong, R., Karthikesalingam, A., Natarajan, V., Matias, Y., Corrado, G. S., Webster, D., Liu, Y., Hammel, N., Sayres, R., Semturs, C. & Schaekermann, M.
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पब्लिकेशन
Advancing Multimodal Medical Capabilities of GeminiYang, L., Xu, S., Sellergren, A., Kohlberger, T., Zhou, Y., Ktena, I., Kiraly, A., Ahmed, F., Hormozdiari, F., Jaroensri, T., Wang, E., Wulczyn, E., Jamil, F., Guidroz, T., Lau, C., Qiao, S., Liu, Y., Goel, A., Park, K., Agharwal, A., George, N., Wang, Y., Tanno, R., Barrett, D. G. T., Weng, W.-H., Sara Mahdavi, S., Saab, K., Tu, T., Kalidindi, S. R., Etemadi, M., Cuadros, J., Sorensen, G., Matias, Y., Chou, K., Corrado, G., Barral, J., Shetty, S., Fleet, D., Ali Eslami, S. M., Tse, D., Prabhakara, S., McLean, C., Steiner, D., Pilgrim, R., Kelly, C., Azizi, S. & Golden, D.
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पब्लिकेशन
Capabilities of Gemini Models in MedicineSaab, K., Tu, T., Weng, W.-H., Tanno, R., Stutz, D., Wulczyn, E., Zhang, F., Strother, T., Park, C., Vedadi, E., Chaves, J. Z., Hu, S.-Y., Schaekermann, M., Kamath, A., Cheng, Y., Barrett, D. G. T., Cheung, C., Mustafa, B., Palepu, A., McDuff, D., Hou, L., Golany, T., Liu, L., Alayrac, J.-B., Houlsby, N., Tomasev, N., Freyberg, J., Lau, C., Kemp, J., Lai, J., Azizi, S., Kanada, K., Man, S., Kulkarni, K., Sun, R., Shakeri, S., He, L., Caine, B., Webson, A., Latysheva, N., Johnson, M., Mansfield, P., Lu, J., Rivlin, E., Anderson, J., Green, B., Wong, R., Krause, J., Shlens, J., Dominowska, E., Ali Eslami, S. M., Cui, C., Vinyals, O., Kavukcuoglu, K., Manyika, J., Dean, J., Hassabis, D., Matias, Y., Webster, D., Barral, J., Corrado, G., Semturs, C., Sara Mahdavi, S., Gottweis, J., Karthikesalingam, A. & Natarajan, V.
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पब्लिकेशन
Towards Generalist Biomedical AI.Tu, T., Azizi, S., Driess, D., Schaekermann, M., Amin, M., Chang, P.-C., Carroll, A., Lau, C., Tanno, R., Ktena, I., Mustafa, B., Chowdhery, A., Liu, Y., Kornblith, S., Fleet, D., Mansfield, P., Prakash, S., Wong, R., Virmani, S., Semturs, C., Sara Mahdavi, S., Green, B., Dominowska, E., Aguera y Arcas, B., Barral, J., Webster, D., Corrado, G. S., Matias, Y., Singhal, K., Florence, P., Karthikesalingam, A. & Natarajan, V.
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पब्लिकेशन
Towards Conversational Diagnostic AITu, T., Palepu, A., Schaekermann, M., Saab, K., Freyberg, J., Tanno, R., Wang, A., Li, B., Amin, M., Tomasev, N., Azizi, S., Singhal, K., Cheng, Y., Hou, L., Webson, A., Kulkarni, K., Sara Mahdavi, S., Semturs, C., Gottweis, J., Barral, J., Chou, K., Corrado, G. S., Matias, Y., Karthikesalingam, A. & Natarajan, V.
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पब्लिकेशन
LLMs Accelerate Annotation for Medical Information Extraction.Goel, A., Gueta, A., Gilon, O., Liu, C., Erell, S., Nguyen, L. H., Hao, X., Jaber, B., Reddy, S., Kartha, R., Steiner, J., Laish, I. & Feder, A.
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पब्लिकेशन
Towards Accurate Differential Diagnosis with Large Language Models.McDuff, D., Schaekermann, M., Tu, T., Palepu, A., Wang, A., Garrison, J., Singhal, K., Sharma, Y., Azizi, S., Kulkarni, K., Hou, L., Cheng, Y., Liu, Y., Sara Mahdavi, S., Prakash, S., Pathak, A., Semturs, C., Patel, S., Webster, D. R., Dominowska, E., Gottweis, J., Barral, J., Chou, K., Corrado, G. S., Matias, Y., Sunshine, J., Karthikesalingam, A. & Natarajan, V.
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पब्लिकेशन
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generationTanno, R., Barrett, D. G. T., Sellergren, A., Ghaisas, S., Dathathri, S., See, A., Welbl, J., Singhal, K., Azizi, S., Tu, T., Schaekermann, M., May, R., Lee, R., Man, S., Ahmed, Z., Mahdavi, S., Belgrave, D., Natarajan, V., Shetty, S., Kohli, P., Huang, P.-S., Karthikesalingam, A. & Ktena, I.
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पब्लिकेशन
The Capability of Large Language Models to Measure Psychiatric FunctioningGalatzer-Levy, I. R., McDuff, D., Natarajan, V., Karthikesalingam, A. & Malgaroli, M.
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पब्लिकेशन
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encodersXu, S., Yang, L., Kelly, C., Sieniek, M., Kohlberger, T., Ma, M., Weng, W.-H., Kiraly, A., Kazemzadeh, S., Melamed, Z., Park, J., Strachan, P., Liu, Y., Lau, C., Singh, P., Chen, C., Etemadi, M., Kalidindi, S. R., Matias, Y., Chou, K., Corrado, G. S., Shetty, S., Tse, D., Prabhakara, S., Golden, D., Pilgrim, R., Eswaran, K. & Sellergren, A.
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पब्लिकेशन
Multimodal LLMs for health grounded in individual-specific dataBelyaeva, A., Cosentino, J., Hormozdiari, F., Eswaran, K., Shetty, S., Corrado, G., Carroll, A., McLean, C. Y. & Furlotte, N. A.
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पब्लिकेशन
Large Language Models are Few-Shot Health LearnersLiu, X., McDuff, D., Kovacs, G., Galatzer-Levy, I., Sunshine, J., Zhan, J., Poh, M.-Z., Liao, S., Di Achille, P. & Patel, S.
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पब्लिकेशन
Towards Expert-Level Medical Question Answering with Large Language ModelsSinghal, K., Tu, T., Gottweis, J., Sayres, R., Wulczyn, E., Hou, L., Clark, K., Pfohl, S., Cole-Lewis, H., Neal, D., Schaekermann, M., Wang, A., Amin, M., Lachgar, S., Mansfield, P., Prakash, S., Green, B., Dominowska, E., Aguera y Arcas, B., Tomasev, N., Liu, Y., Wong, R., Semturs, C., Sara Mahdavi, S., Barral, J., Webster, D., Corrado, G. S., Matias, Y., Azizi, S., Karthikesalingam, A. & Natarajan, V.
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पब्लिकेशन
Large Language Models Encode Clinical KnowledgeSinghal, K., Azizi, S., Tu, T., Sara Mahdavi, S., Wei, J., Chung, H. W., Scales, N., Tanwani, A., Cole-Lewis, H., Pfohl, S., Payne, P., Seneviratne, M., Gamble, P., Kelly, C., Scharli, N., Chowdhery, A., Mansfield, P., Aguera y Arcas, B., Webster, D., Corrado, G. S., Matias, Y., Chou, K., Gottweis, J., Tomasev, N., Liu, Y., Rajkomar, A., Barral, J., Semturs, C., Karthikesalingam, A. & Natarajan, V.
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ब्लॉग पोस्ट
This AI model is helping researchers detect disease based on coughsby Shravya Shetty
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ब्लॉग पोस्ट
Joint Speech Recognition and Speaker Diarization via Sequence Transductionby Laurent El Shafey and Izhak Shafran
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ब्लॉग पोस्ट
How AI can improve products for people with impaired speechby Julie Cattiau
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ब्लॉग पोस्ट
Understanding Medical Conversationsby Katherine Chou & Chung-Cheng Chiu
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पब्लिकेशन
HeAR -- Health Acoustic RepresentationsBaur, S., Nabulsi, Z., Weng, W.-H., Garrison, J., Blankemeier, L., Fishman, S., Chen, C., Kakarmath, S., Maimbolwa, M., Sanjase, N., Shuma, B., Matias, Y., Corrado, G. S., Patel, S., Shetty, S., Prabhakara, S., Muyoyeta, M. & Ardila, D.
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पब्लिकेशन
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic SignalsBlankemeier, L., Baur, S., Weng, W.-H., Garrison, J., Matias, Y., Prabhakara, S., Ardila, D. & Nabulsi, Z.
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पब्लिकेशन
Medical Scribe: Corpus Development and Model Performance AnalysesShafran, I., Du, N., Tran, L., Perry, A., Keyes, L., Knichel, M., Domin, A., Huang, L., Chen, Y., Li, G., Wang, M., El Shafey, L., Soltau, H. & Paul, J. S.
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पब्लिकेशन
Extracting Symptoms and their Status from Clinical ConversationsDu, N., Chen, K., Kannan, A., Tran, L., Chen, Y. & Shafran, I.
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पब्लिकेशन
Automatically Charting Symptoms From Patient-Physician Conversations Using Machine LearningRajkomar, A., Kannan, A., Chen, K., Vardoulakis, L., Chou, K., Cui, C., & Dean, J.
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पब्लिकेशन
Joint Speech Recognition and Speaker Diarization via Sequence TransductionEl Shafey, L., Soltau, H. & Shafran, I.
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पब्लिकेशन
Learning to Infer Entities, Properties and their Relations from Clinical ConversationsDu, N., Wang, M., Tran, L., Li, G. & Shafran, I.
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पब्लिकेशन
Speech recognition for medical conversationsChiu, C.-C., Tripathi, A., Chou, K., Co, C., Jaitly, N., Jaunzeikare, D., Kannan, A., Nguyen, P., Sak, H., Sankar, A., Tansuwan, J., Wan, N., Wu, Y., & Zhang X.
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ब्लॉग पोस्ट
Deciphering clinical abbreviations with privacy protecting MLby Alvin Rajkoma and Eric Loreaux
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ब्लॉग पोस्ट
EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Recordsby Jinsung Yoon and Sercan O. Arik
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ब्लॉग पोस्ट
Multi-task Prediction of Organ Dysfunction in ICUsby Subhrajit Roy & Diana Mincu
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ब्लॉग पोस्ट
A Step Towards Protecting Patients from Medication Errorsby Kathryn Rough & Alvin Rajkomar
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ब्लॉग पोस्ट
Expanding the Application of Deep Learning to Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
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ब्लॉग पोस्ट
Scaling Streams with Googleby Demis Hassabis & Mustafa Suleyman & Dominic King
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ब्लॉग पोस्ट
Deep Learning for Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
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ब्लॉग पोस्ट
Making Healthcare Data Work Better with Machine Learningby Patrik Sundberg & Eyal Oren
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पब्लिकेशन
User-centred design for machine learning in health care: a case study from care managementSeneviratne, M. G., Li, R. C., Schreier, M., Lopez-Martinez, D., Patel, B. S., Yakubovich, A., Kemp, J. B., Loreaux, E., Gamble, P., El-Khoury, K., Vardoulakis, L., Wong, D., Desai, J., Chen, J. H., Morse, K. E., Downing, N. L., Finger, L. T., Chen, M.-J. & Shah, N.
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पब्लिकेशन
Boosting the interpretability of clinical risk scores with intervention predictionsLoreaux, E., Yu, K., Kemp, J., Seneviratne, M., Chen, C., Roy, S., Protsyuk, I., Harris, N., D’Amour, A., Yadlowsky, S. & Chen, M.-J.
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पब्लिकेशन
Deciphering clinical abbreviations with a privacy protecting machine learning systemRajkomar, A., Loreaux, E., Liu, Y., Kemp, J., Li, B., Chen, M.-J., Zhang, Y., Mohiuddin, A. & Gottweis, J.
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पब्लिकेशन
Structured understanding of assessment and plans in clinical documentationStupp, D., Barequet, R., Lee, I.-C., Oren, E., Feder, A., Benjamini, A., Hassidim, A., Matias, Y., Ofek, E. & Rajkomar, A.
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पब्लिकेशन
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routingRoy, S., Mincu, D., Loreaux, E., Mottram, A., Protsyuk, I., Harris, N., Xue, Y., Schrouff, J., Montgomery, H., Connell, A., Tomasev, N., Karthikesalingam, A. & Seneviratne, M.
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पब्लिकेशन
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health recordsTomašev, N., Harris, N., Baur, S., Mottram, A., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Magliulo, V., Meyer, C., Ravuri, S., Protsyuk, I., Connell, A., Hughes, C. O., Karthikesalingam, A., Cornebise, J., Montgomery, H., Rees, G., Laing, C., Baker, C. R., Osborne, T. F., Reeves, R., Hassabis, D., King, D., Suleyman, M., Back, T., Nielson, C., Seneviratne, M. G., Ledsam, J. R. & Mohamed, S.
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पब्लिकेशन
Learning to Select Best Forecast Tasks for Clinical Outcome PredictionXue Y, Du N, Mottram A, Seneviratne A, Dai AM.
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पब्लिकेशन
Deep State-Space Generative Model For Correlated Time-to-Event PredictionsXue Y, Zhou D, Du N, Dai A, Xu Z, Zhang K, Cui C.
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पब्लिकेशन
Graph convolutional transformer: Learning the graphical structure of electronic health recordsChoi E, Xu Z, Li Y, Dusenberry MW, Flores G, Xue Y, Dai AM.
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पब्लिकेशन
Analyzing the role of model uncertainty for electronic health recordsDusenberry MW, Tran D, Choi E, Kemp J, Nixon J, Jerfel G, Heller K, & Dai AM.
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पब्लिकेशन
Explaining an increase in predicted risk for clinical alertsHardt M, Rajkomar A, Flores G, Dai A, Howell M, Corrado G, Cui C, & Hardt M.
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पब्लिकेशन
Predicting inpatient medication orders from electronic health record dataRough, K., Dai, A. M., Zhang, K., Xue, Y., Vardoulakis, L. M., Cui, C., Butte, A. J., Howell, M. D. & Rajkomar, A.
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पब्लिकेशन
A clinically applicable approach to continuous prediction of future acute kidney injuryTomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., Connell, A., Hughes, C. O., Karthikesalingam, A., Cornebise, J., Montgomery, H., Rees, G., Laing, C., Baker, C. R., Peterson, K., Reeves, R., Hassabis, D., King, D., Suleyman, M., Back, T., Nielson, C., Ledsam, J. R. & Mohamed, S.
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पब्लिकेशन
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissionsConnell, A., Montgomery, H., Martin, P., Nightingale, C., Sadeghi-Alavijeh, O., King, D., Karthikesalingam, A., Hughes, C., Back, T., Ayoub, K., Suleyman, M., Jones, G., Cross, J., Stanley, S., Emerson, M., Merrick, C., Rees, G., Laing, C. & Raine, R.
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पब्लिकेशन
Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care CostsConnell A., Raine R., Martin P., Barbosa E.C., Morris S., Nightingale C., Sadeghi-Alavijeh O., King D., Karthikesalingam A., Hughes C., Back T., Ayoub K., Suleyman M., Jones G., Cross J., Stanley S., Emerson M., Merrick C., Rees G., Montgomery H., & Laing C.
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पब्लिकेशन
Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care ProfessionalsConnell A, Black G, Montgomery H, Martin P, Nightingale C, King D, Karthikesalingam A, Hughes C, Back T, Ayoub K, Suleyman M, Jones G, Cross J, Stanley S, Emerson M, Merrick C, Rees G, Laing C, & Raine R.
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पब्लिकेशन
Improved Patient Classification with Language Model Pretraining Over Clinical NotesKemp J, Rajkomar A, & Dai AM.
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पब्लिकेशन
Federated and Differentially Private Learning for Electronic Health RecordsPfohl SR, Dai AM, & Heller K.
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पब्लिकेशन
Deep Physiological State Space Model for Clinical ForecastingXue Y, Zhou D, Du N, Dai AM, Xu Z, Zhang K,& Cui C.
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पब्लिकेशन
Modelling EHR timeseries by restricting feature interactionZhang K, Xue Y, Flores G, Rajkomar A, Cui C, & Dai AM.
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पब्लिकेशन
Scalable and accurate deep learning with electronic health recordsRajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, Liu PJ, Liu X, Marcus J, Sun M, Sundberg P, Yee H, Zhang K, Zhang Y, Flores G, Duggan GE, Irvine J, Le Q, Litsch K, Mossin A, Tansuwan J, Wang, Wexler J, Wilson J, Ludwig D, Volchenboum SL, Chou K, Pearson M, Madabushi S, Shah NH, Butte AJ, Howell MD, Cui C, Corrado GS, Dean J.
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ब्लॉग पोस्ट
A step towards making heart health screening accessible for billions with PPG signalsby Mayank Daswani & Sujay Kakarmath
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ब्लॉग पोस्ट
Using generative AI to investigate medical imagery models and datasetsby Oran Lang & Heather Cole-Lewis
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ब्लॉग पोस्ट
Developing an aging clock using deep learning on retinal imagesby Sara Ahadi & Andrew Carroll
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ब्लॉग पोस्ट
Detecting novel systemic biomarkers in external eye photoby Boris Babenko & Akib Uddin
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ब्लॉग पोस्ट
The Check Up: our latest health AI developmentsby Greg Corrado
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ब्लॉग पोस्ट
Detecting Signs of Disease from External Images of the Eyeby Boris Babenko & Naama Hammel
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ब्लॉग पोस्ट
How AI could predict sight-threatening eye conditionsby Terry Spitz & Jim Winkens
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ब्लॉग पोस्ट
Using AI to predict retinal disease progressionby Jason Yim, Reena Chopra, Jeffrey De Fauw & Joseph Ledsam
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ब्लॉग पोस्ट
Detecting hidden signs of anemia from the eyeby Akinori Mitani
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ब्लॉग पोस्ट
Assessing Cardiovascular Risk Factors with Computer Visionby Lily Peng
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पब्लिकेशन
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep LearningWeng, W.-H., Baur, S., Daswani, M., Chen, C., Harrell, L., Kakarmath, S., Jabara, M., Behsaz, B., McLean, C. Y., Matias, Y., Corrado, G. S., Shetty, S., Prabhakara, S., Liu, Y., Danaei, G. & Ardila, D.
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पब्लिकेशन
Using generative AI to investigate medical imagery models and datasetsLang, O., Yaya-Stupp, D., Traynis, I., Cole-Lewis, H., Bennett, C. R., Lyles, C. R., Lau, C., Irani, M., Semturs, C., Webster, D. R., Corrado, G. S., Hassidim, A., Matias, Y., Liu, Y., Hammel, N. & Babenko, B.
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पब्लिकेशन
Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clockAhadi, S., Wilson, K. A., Jr, Babenko, B., McLean, C. Y., Bryant, D., Pritchard, O., Kumar, A., Carrera, E. M., Lamy, R., Stewart, J. M., Varadarajan, A., Berndl, M., Kapahi, P. & Bashir, A.
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पब्लिकेशन
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study.Babenko, B., Traynis, I., Chen, C., Singh, P., Uddin, A., Cuadros, J., Daskivich, L. P., Maa, A. Y., Kim, R., Kang, E. Y.-C., Matias, Y., Corrado, G. S., Peng, L., Webster, D. R., Semturs, C., Krause, J., Varadarajan, A. V., Hammel, N. & Liu, Y.
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पब्लिकेशन
Detection of signs of disease in external photographs of the eyes via deep learningBabenko, B., Mitani, A., Traynis, I., Kitade, N., Singh, P., Maa, A. Y., Cuadros, J., Corrado, G. S., Peng, L., Webster, D. R., Varadarajan, A., Hammel, N. & Liu, Y.
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पब्लिकेशन
Deep learning to detect optical coherence tomography-derived diabetic macular edema from retinal photographs: a multicenter validation studyLiu, X., Ali, T. K., Singh, P., Shah, A., McKinney, S. M., Ruamviboonsuk, P., Turner, A. W., Keane, P. A., Chotcomwongse, P., Nganthavee, V., Chia, M., Huemer, J., Cuadros, J., Raman, R., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N., Varadarajan, A. V., Liu, Y., Chopra, R. & Bavishi, P.
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पब्लिकेशन
Retinal fundus photographs capture hemoglobin loss after blood donationMitani, A., Traynis, I., Singh, P., Corrado, G. S., Webster, D. R., Peng, L. H., Varadarajan, A. V., Liu, Y. & Hammel, N.
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पब्लिकेशन
Predicting the risk of developing diabetic retinopathy using deep learningBora, A., Balasubramanian, S., Babenko, B., Virmani, S., Venugopalan, S., Mitani, A., de Oliveira Marinho, G., Cuadros, J., Ruamviboonsuk, P., Corrado, G. S., Peng, L., Webster, D. R., Varadarajan, A. V., Hammel, N., Liu, Y. & Bavishi, P.
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पब्लिकेशन
Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learningMoraes, G., Fu, D. J., Wilson, M., Khalid, H., Wagner, S. K., Korot, E., Ferraz, D., Faes, L., Kelly, C. J., Spitz, T., Patel, P. J., Balaskas, K., Keenan, T. D. L., Keane, P. A. & Chopra, R.
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पब्लिकेशन
Scientific Discovery by Generating Counterfactuals Using Image TranslationNarayanaswamy, A., Venugopalan, S., Webster, D. R., Peng, L., Corrado, G. S., Ruamviboonsuk, P., Bavishi, P., Brenner, M., Nelson, P. C. & Varadarajan, A. V.
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पब्लिकेशन
Predicting conversion to wet age-related macular degeneration using deep learningYim, J., Chopra, R., Spitz, T., Winkens, J., Obika, A., Kelly, C., Askham, H., Lukic, M., Huemer, J., Fasler, K., Moraes, G., Meyer, C., Wilson, M., Dixon, J., Hughes, C., Rees, G., Khaw, P. T., Karthikesalingam, A., King, D., Hassabis, D., Suleyman, M., Back, T., Ledsam, J. R., Keane, P. A. & De Fauw, J.
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पब्लिकेशन
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learningVaradarajan, A. V., Bavishi, P., Ruamviboonsuk, P., Chotcomwongse, P., Venugopalan, S., Narayanaswamy, A., Cuadros, J., Kanai, K., Bresnick, G., Tadarati, M., Silpa-Archa, S., Limwattanayingyong, J., Nganthavee, V., Ledsam, J. R., Keane, P. A., Corrado, G. S., Peng, L. & Webster, D. R.
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पब्लिकेशन
Detection of anaemia from retinal fundus images via deep learningMitani, A., Huang, A., Venugopalan, S., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N., Liu, Y. & Varadarajan, A. V.
-
पब्लिकेशन
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep LearningBabenko, B., Balasubramanian, S., Blumer, K. E., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N. & Varadarajan, A. V.
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पब्लिकेशन
Deep Learning for Predicting Refractive Error From Retinal Fundus Imagesaradarajan, A.V., Poplin, R., Blumer, K., Angermueller, C., Lesdam, J., Chopra, R., Keane, P.A., Corrado, G. S., Peng, L., Webster, D. R.
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पब्लिकेशन
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learningPoplin, R., Varadarajan, A. V., Blumer, K., Liu, Y., McConnell, M. V., Corrado, G. S., Peng, L., & Webster, D. R.
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ब्लॉग पोस्ट [more at OHS Blog]
5 ways Google is accelerating Health AI innovation in Africaby Yossi Mattia & Shravya Shetty
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ब्लॉग पोस्ट
Engaging with the Healthcare Developer Ecosystem in Indiaby Richa Tiwari
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ब्लॉग पोस्ट
Empowering Developers to Build Next Generation, Mobile-First Healthcare Solutionsby Richa Tiwari
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ब्लॉग पोस्ट
Manage FHIR Data from Android App with Open Health Stack and Google Cloudby Abirami Sukumaran & Omar Ismail
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ब्लॉग पोस्ट
7 ways Google Health is improving outcomes in Asia Pacificby Karen DeSalvo
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ब्लॉग पोस्ट
Our collaboration with WHO to improve public healthby Karen DeSalvo
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ब्लॉग पोस्ट
New tools to help developers build better health appsby Fred Hersch
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ब्लॉग पोस्ट
Our FHIR SDK for Android Developersby Katherine Chou & Sudhi Herle
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ब्लॉग पोस्ट
Working with the WHO to power digital health appsby Fred Hersch & Jing Tang
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पब्लिकेशन
A full-STAC remedy for global digital health transformation: open standards, technologies, architectures and contentMehl, G. L., Seneviratne, M. G., Berg, M. L., Bidani, S., Distler, R. L., Gorgens, M., Kallander, K. E., Labrique, A. B., Landry, M. S., Leitner, C., Lubell-Doughtie, P. B., Marcelo, A. D., Matias, Y., Nelson, J., Nguyen, V., Nsengimana, J. P., Orton, M., Otzoy Garcia, D. R., Oyaole, D. R., Ratanaprayul, N., Roth, S., Schaefer, M. P., Settle, D., Tang, J., Tien-Wahser, B., Wanyee, S. & Hersch, F.
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पब्लिकेशन
Collaborative Momentum: The 2023 State of the Digital Public Goods Ecosystem Report
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ब्लॉग पोस्ट
Health-specific embedding tools for dermatology and pathologyby Dave Steiner & Rory Pilgrim
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ब्लॉग पोस्ट
Accelerate AI development for Digital Pathology using EZ WSI DICOMWeb Python library -
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Using AI to Predict the Presence of Cancer Spreadby Justin Krogue, Yun Liu, Po-Hsuan Cameron Chen & Ellery A
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ब्लॉग पोस्ट
Learning from deep learning: a case study of feature discovery and validation in pathologyby Ellery Wulczyn and Yun Liu
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ब्लॉग पोस्ट
Pathology digitization and the fight against cancerby Karen DeSalvo
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ब्लॉग पोस्ट
Verily and Lumea Announce Development Partnership to Advance Digital Pathology in Prostate Cancer -
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An International Scientific Challenge for the Diagnosis and Gleason Grading of Prostate Cancerby Po-Hsuan Cameron Chen & Maggie Demkin
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ब्लॉग पोस्ट
The promise of using AI to help prostate cancer careby Po-Hsuan Cameron Chen & Yun Liu
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ब्लॉग पोस्ट
PAIR @ CHI 2021by People + AI Research
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ब्लॉग पोस्ट
Learning from deep learning: developing interpretable AI approaches in histopathology to predict patient prognosis and explore novel featuresby Dave Steiner, Yun Liu, Craig Mermel, Kurt Zatloukal, Heimo Muller, Markus Plass
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ब्लॉग पोस्ट
Defense Innovation Unit Selects Google Cloud to Help U.S. Military Health System with Predictive Cancer Diagnoses -
ब्लॉग पोस्ट
Using AI to identify the aggressiveness of prostate cancerby Kunal Nagpal & Craig Mermel
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ब्लॉग पोस्ट
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Modelsby Timo Kohlberger & Yuan Liu
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ब्लॉग पोस्ट
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathologyby Narayan Hedge & Carrie Cai
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ब्लॉग पोस्ट
Improved Grading of Prostate Cancer Using Deep Learningby Martin Stumpe & Craig Mermel
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ब्लॉग पोस्ट
Applying Deep Learning to Metastatic Breast Cancer Detectionby Martin Stumpe & Craig Mermel
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ब्लॉग पोस्ट
An Augmented Reality Microscope for Cancer Detectionby Martin Stumpe & Craig Mermel
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ब्लॉग पोस्ट
Assisting Pathologists in Detecting Cancer with Deep Learningby Martin Stumpe & Lily Peng
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पब्लिकेशन
PathAlign: A vision-language model for whole slide images in histopathologyAhmed, F., Sellergren, A., Yang, L., Xu, S., Babenko, B., Ward, A., Olson, N., Mohtashamian, A., Matias, Y., Corrado, G. S., Duong, Q., Webster, D. R., Shetty, S., Golden, D., Liu, Y., Steiner, D. F. & Wulczyn, E.
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पब्लिकेशन
Estrogen receptor gene expression prediction from H&E whole slide imagesSrinivas, A. A., Jaroensri, R., Wulczyn, E., Liu, Y., Wren, J. H., Thompson, E. E., Olson, N., Beckers, F., Miao, M., Chen, P.-H. C. & Steiner, D. F.
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पब्लिकेशन
An End-to-End Platform for Digital Pathology Using Hyperspectral Autofluorescence Microscopy and Deep Learning-Based Virtual HistologyMcNeil, C., Wong, P. F., Sridhar, N., Wang, Y., Santori, C., Wu, C.-H., Homyk, A., Gutierrez, M., Behrooz, A., Tiniakos, D., Burt, A. D., Pai, R. K., Tekiela, K., Cameron Chen, P.-H., Fischer, L., Martins, E. B., Seyedkazemi, S., Freedman, D., Kim, C. C. & Cimermancic, P.
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पब्लिकेशन
Domain-specific optimization and diverse evaluation of self-supervised models for histopathologyLai, J., Ahmed, F., Vijay, S., Jaroensri, T., Loo, J., Vyawahare, S., Agarwal, S., Jamil, F., Matias, Y., Corrado, G. S., Webster, D. R., Krause, J., Liu, Y., Chen, P.-H. C., Wulczyn, E. & Steiner, D. F.
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पब्लिकेशन
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learningKrogue, J. D., Azizi, S., Tan, F., Flament-Auvigne, I., Brown, T., Plass, M., Reihs, R., Müller, H., Zatloukal, K., Richeson, P., Corrado, G. S., Peng, L. H., Mermel, C. H., Liu, Y., Chen, P.-H. C., Gombar, S., Montine, T., Shen, J., Steiner, D. F. & Wulczyn, E.
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पब्लिकेशन
Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk StratificationL’Imperio, V., Wulczyn, E., Plass, M., Müller, H., Tamini, N., Gianotti, L., Zucchini, N., Reihs, R., Corrado, G. S., Webster, D. R., Peng, L. H., Chen, P.-H. C., Lavitrano, M., Liu, Y., Steiner, D. F., Zatloukal, K. & Pagni, F.
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पब्लिकेशन
Deep learning models for histologic grading of breast cancer and association with disease prognosisJaroensri, R., Wulczyn, E., Hegde, N., Brown, T., Flament-Auvigne, I., Tan, F., Cai, Y., Nagpal, K., Rakha, E. A., Dabbs, D. J., Olson, N., Wren, J. H., Thompson, E. E., Seetao, E., Robinson, C., Miao, M., Beckers, F., Corrado, G. S., Peng, L. H., Mermel, C. H., Liu, Y., Steiner, D. F. & Chen, P.-H. C.
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पब्लिकेशन
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeBulten, W., Kartasalo, K., Chen, P.-H. C., Ström, P., Pinckaers, H., Nagpal, K., Cai, Y., Steiner, D. F., van Boven, H., Vink, R., Hulsbergen-van de Kaa, C., van der Laak, J., Amin, M. B., Evans, A. J., van der Kwast, T., Allan, R., Humphrey, P. A., Grönberg, H., Samaratunga, H., Delahunt, B., Tsuzuki, T., Häkkinen, T., Egevad, L., Demkin, M., Dane, S., Tan, F., Valkonen, M., Corrado, G. S., Peng, L., Mermel, C. H., Ruusuvuori, P., Litjens, G. & Eklund, M.
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पब्लिकेशन
Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology imagesSadhwani, A., Chang, H.-W., Behrooz, A., Brown, T., Auvigne-Flament, I., Patel, H., Findlater, R., Velez, V., Tan, F., Tekiela, K., Wulczyn, E., Yi, E. S., Mermel, C. H., Hanks, D., Chen, P.-H. C., Kulig, K., Batenchuk, C., Steiner, D. F. & Cimermancic, P.
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पब्लिकेशन
Determining breast cancer biomarker status and associated morphological features using deep learningGamble, P., Jaroensri, R., Wang, H., Tan, F., Moran, M., Brown, T., Flament-Auvigne, I., Rakha, E. A., Toss, M., Dabbs, D. J., Regitnig, P., Olson, N., Wren, J. H., Robinson, C., Corrado, G. S., Peng, L. H., Liu, Y., Mermel, C. H., Steiner, D. F. & Chen, P.-H. C.
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पब्लिकेशन
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingWulczyn, E., Nagpal, K., Symonds, M., Moran, M., Plass, M., Reihs, R., Nader, F., Tan, F., Cai, Y., Brown, T., Flament-Auvigne, I., Amin, M. B., Stumpe, M. C., Müller, H., Regitnig, P., Holzinger, A., Corrado, G. S., Peng, L. H., Chen, P.-H. C., Steiner, D. F., Zatloukal, K., Liu, Y. & Mermel, C. H.
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पब्लिकेशन
Onboarding Materials as Boundary Objects for Developing AI AssistantsCai, C.J., Steiner, D., Wilcox, L., Terry, M. and Winter, S.
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पब्लिकेशन
Interpretable survival prediction for colorectal cancer using deep learningWulczyn, E., Steiner, D. F., Moran, M., Plass, M., Reihs, R., Tan, F., Flament-Auvigne, I., Brown, T., Regitnig, P., Chen, P.-H. C., Hegde, N., Sadhwani, A., MacDonald, R., Ayalew, B., Corrado, G. S., Peng, L. H., Tse, D., Müller, H., Xu, Z., Liu, Y., Stumpe, M. C., Zatloukal, K. & Mermel, C. H.
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पब्लिकेशन
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesSteiner, D. F., Nagpal, K., Sayres, R., Foote, D. J., Wedin, B. D., Pearce, A., Cai, C. J., Winter, S. R., Symonds, M., Yatziv, L., Kapishnikov, A., Brown, T., Flament-Auvigne, I., Tan, F., Stumpe, M. C., Jiang, P.-P., Liu, Y., Chen, P.-H. C., Corrado, G. S., Terry, M. & Mermel, C. H.
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पब्लिकेशन
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy SpecimensNagpal, K., Foote, D., Tan, F., Liu, Y., Chen, P.-H. C., Steiner, D. F., Manoj, N., Olson, N., Smith, J. L., Mohtashamian, A., Peterson, B., Amin, M. B., Evans, A. J., Sweet, J. W., Cheung, C., van der Kwast, T., Sangoi, A. R., Zhou, M., Allan, R., Humphrey, P. A., Hipp, J. D., Gadepalli, K., Corrado, G. S., Peng, L. H., Stumpe, M. C. & Mermel, C. H.
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पब्लिकेशन
Deep learning-based survival prediction for multiple cancer types using histopathology imagesWulczyn, E., Steiner, D. F., Xu, Z., Sadhwani, A., Wang, H., Flament-Auvigne, I., Mermel, C. H., Chen, P.-H. C., Liu, Y. & Stumpe, M. C.
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पब्लिकेशन
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer DetectionKohlberger, T., Liu, Y., Moran, M., Chen, P.-H. C., Brown, T., Hipp, J. D., Mermel, C. H. & Stumpe, M. C.
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पब्लिकेशन
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosisChen, P.C., Gadepalli, K., MacDonald, R., Liu, Y., Kadowaki, S., Nagpal, K., Kohlberger, T., Dean, J., Corrado, G.S., Hipp, J.D., Mermel, C.H., Stumpe, M. C.
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पब्लिकेशन
Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for PathologistsLiu, Y., Kohlberger, T., Norouzi, M., Dahl, G. E., Smith, J. L., Mohtashamian, A., Olson, N., Peng, L.H., Hipp, J.D., Stumpe, M.C. (2019).
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पब्लिकेशन
Similar image search for histopathology: SMILYHegde, N., Hipp, J. D., Liu, Y., Emmert-Buck, M., Reif, E., Smilkov, D., Terry, M., Cai, C. J., Amin, M. B., Mermel, C. H., Nelson, P. Q., Peng, L. H., Corrado, G. S. & Stumpe, M. C.
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पब्लिकेशन
"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-MakingCai, C.J., Winter, S., Steiner, D., Wilcox, L. and Terry, M.
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पब्लिकेशन
Human-centered tools for coping with imperfect algorithms during medical decision-makingCai, C.J., Reif, E., Hegde, N., Hipp, J., Kim, B., Smilkov, D., Wattenberg, M., Viegas, F., Corrado, G.S., Stumpe, M.C. and Terry, M.
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पब्लिकेशन
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancerNagpal, K., Foote, D., Liu, Y., Chen, P.H.C., Wulczyn, E., Tan, F., Olson, N., Smith, J.L., Mohtashamian, A., Wren, J.H., Corrado, G.S., MacDonald, R., Peng, L. H., Amin, M.B., Evans, A.J., Sanjoi, A.R., Mermel, C. H., Hipp, J. D., Stumpe, M. C.
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पब्लिकेशन
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast CancerSteiner, D. F., MacDonald, R., Liu, Y., Truszkowski, P., Hipp, J. D., Gammage, C., Thng, F., Peng, L., Stumpe, M.C.
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पब्लिकेशन
Detecting cancer metastases on gigapixel pathology imagesLiu, Y., Gadepalli, K., Norouzi, M., Dahl, G.E., Kohlberger, T., Boyko, A., Venugopalan, S., Timofeev, A., Nelson, P.Q., Corrado, G.S. and Hipp, J.D., Peng, L., Stumpe, M. C.
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How we’re using AI to make emergency healthcare more accessibleby Shravya Shetty
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ब्लॉग पोस्ट
How AI is helping advance women’s health around the world -
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New anonymized smartphone data reveals it often takes more time than expected to access healthcare in the real world: Using aggregated and anonymized data from over 100 countries to quantify inequities in access to healthcareby Kristina Gligoric
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ब्लॉग पोस्ट
5 ways Google is accelerating Health AI innovation in Africaby Yossi Mattia & Shravya Shetty
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How we’re using AI to combat floods, wildfires and extreme heatby Yossi Matias
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How we’re supporting access to emergency maternal care in Nigeriaby Charlotte Stanton
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How we’re helping people and cities adapt to extreme heatby Kate Brandt
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New tools to support vaccine access and distributionby Tomer Shekel
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An update on our efforts to help Americans navigate COVID-19by Ruth Porat
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Making data useful for public healthby Katherine Chou
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Using symptoms search trends to inform COVID-19 researchby Evgeniy Gabrilovich
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Helping public health officials combat COVID-19by Jen Fitzpatrick & Karen DeSalvo
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New Insights into Human Mobility with Privacy Preserving Aggregationby Adam Sadilek & Xerxes Dotiwalla
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पब्लिकेशन
Quantifying urban park use in the USA at scale: empirical estimates of realised park usage using smartphone location dataYoung, M. T., Vispute, S., Serghiou, S., Kumok, A., Shah, Y., Lane, K. J., Black-Ingersoll, F., Brochu, P., Bharel, M., Skenazy, S., Karthikesalingam, A., Bavadekar, S., Kansal, M., Shekel, T., Gabrilovich, E. & Wellenius, G. A.
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A geospatial database of close-to-reality travel times to obstetric emergency care in 15 Nigerian conurbationsMacharia, P. M., Wong, K. L. M., Olubodun, T., Beňová, L., Stanton, C., Sundararajan, N., Shah, Y., Prasad, G., Kansal, M., Vispute, S., Shekel, T., Gwacham-Anisiobi, U., Ogunyemi, O., Wang, J., Abejirinde, I.-O. O., Makanga, P. T., Afolabi, B. B. & Banke-Thomas, A.
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Comparing access to urban parks across six OECD countriesVeneri, P., Kaufmann, T., Vispute, S., Shekel, T., Gabrilovich, E., Wellenius, G. A., Dijkstra, L. & Kansal, M.
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An evaluation of Internet searches as a marker of trends in population mental health in the USVaidyanathan, U., Sun, Y., Shekel, T., Chou, K., Galea, S., Gabrilovich, E. & Wellenius, G. A.
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COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus diseaseWahltinez, O., Cheung, A., Alcantara, R., Cheung, D., Daswani, M., Erlinger, A., Lee, M., Yawalkar, P., Lê, P., Navarro, O. P., Brenner, M. P. & Murphy, K.
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पब्लिकेशन
Google COVID-19 Vaccination Search Insights: Anonymization Process DescriptionBavadekar, S., Boulanger, A., Davis, J., Desfontaines, D., Gabrilovich, E., Gadepalli, K., Ghazi, B., Griffith, T., Gupta, J., Kamath, C., Kraft, D., Kumar, R., Kumok, A., Mayer, Y., Manurangsi, P., Patankar, A., Perera, I. M., Scott, C., Shekel, T., Miller, B., Smith, K., Stanton, C., Sun, M., Young, M. & Wellenius, G.
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पब्लिकेशन
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पब्लिकेशन
Impacts of social distancing policies on mobility and COVID-19 case growth in the USWellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., Dai, A., Williams, B., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Bendebury, C., Mandayam, C., Stanton, C., Bavadekar, S., Pluntke, C., Desfontaines, D., Jacobson, B. H., Armstrong, Z., Gipson, B., Wilson, R., Widdowson, A., Chou, K., Oplinger, A., Shekel, T., Jha, A. K. & Gabrilovich, E.
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पब्लिकेशन
Forecasting influenza activity using machine-learned mobility mapVenkatramanan, S., Sadilek, A., Fadikar, A., Barrett, C. L., Biggerstaff, M., Chen, J., Dotiwalla, X., Eastham, P., Gipson, B., Higdon, D., Kucuktunc, O., Lieber, A., Lewis, B. L., Reynolds, Z., Vullikanti, A. K., Wang, L. & Marathe, M.
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पब्लिकेशन
Global maps of travel time to healthcare facilitiesWeiss, D. J., Nelson, A., Vargas-Ruiz, C. A., Gligorić, K., Bavadekar, S., Gabrilovich, E., Bertozzi-Villa, A., Rozier, J., Gibson, H. S., Shekel, T., Kamath, C., Lieber, A., Schulman, K., Shao, Y., Qarkaxhija, V., Nandi, A. K., Keddie, S. H., Rumisha, S., Amratia, P., Arambepola, R., Chestnutt, E. G., Millar, J. J., Symons, T. L., Cameron, E., Battle, K. E., Bhatt, S. & Gething, P. W.
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पब्लिकेशन
Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington stateAbueg, M., Hinch, R., Wu, N., Liu, L., Probert, W. J. M., Wu, A., Eastham, P., Shafi, Y., Rosencrantz, M., Dikovsky, M., Cheng, Z., Nurtay, A., Abeler-Dörner, L., Bonsall, D. G., McConnell, M. V., O’Banion, S. & Fraser, C.
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Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)Bavadekar, S., Dai, A., Davis, J., Desfontaines, D., Eckstein, I., Everett, K., Fabrikant, A., Flores, G., Gabrilovich, E., Gadepalli, K., Glass, S., Huang, R., Kamath, C., Kraft, D., Kumok, A., Marfatia, H., Mayer, Y., Miller, B., Pearce, A., Perera, I. M., Ramachandran, V., Raman, K., Roessler, T., Shafran, I., Shekel, T., Stanton, C., Stimes, J., Sun, M., Wellenius, G. & Zoghi, M.
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पब्लिकेशन
Impacts of State-Level Policies on Social Distancing in the United States Using Aggregated Mobility Data during the COVID-19 PandemicWellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., Williams, B., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Bendebury, C., Stanton, C., Bavadekar, S., Pluntke, C., Desfontaines, D., Jacobson, B., Armstrong, Z., Gipson, B., Wilson, R., Widdowson, A., Chou, K., Oplinger, A., Shekel, T., Jha, A. K. & Gabrilovich, E.
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पब्लिकेशन
Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)Aktay, A., Bavadekar, S., Cossoul, G., Davis, J., Desfontaines, D., Fabrikant, A., Gabrilovich, E., Gadepalli, K., Gipson, B., Guevara, M., Kamath, C., Kansal, M., Lange, A., Mandayam, C., Oplinger, A., Pluntke, C., Roessler, T., Schlosberg, A., Shekel, T., Vispute, S., Vu, M., Wellenius, G., Williams, B. & Wilson, R. J.
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पब्लिकेशन
Assessing the impact of coordinated COVID-19 exit strategies across EuropeRuktanonchai, N. W., Floyd, J. R., Lai, S., Ruktanonchai, C. W., Sadilek, A., Rente-Lourenco, P., Ben, X., Carioli, A., Gwinn, J., Steele, J. E., Prosper, O., Schneider, A., Oplinger, A., Eastham, P. & Tatem, A. J.
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Lymelight: forecasting Lyme disease risk using web search dataSadilek, A., Hswen, Y., Bavadekar, S., Shekel, T., Brownstein, J. S. & Gabrilovich, E.
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Hierarchical organization of urban mobility and its connection with city livabilityBassolas, A., Barbosa-Filho, H., Dickinson, B., Dotiwalla, X., Eastham, P., Gallotti, R., Ghoshal, G., Gipson, B., Hazarie, S. A., Kautz, H., Kucuktunc, O., Lieber, A., Sadilek, A., & Ramasco, J. J.
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Machine-learned epidemiology: real-time detection of foodborne illness at scaleSadilek, A., Caty, S., DiPrete, L., Mansour, R., Schenk Jr., T., Bergtholdt, M., Jha, A., Ramaswami P., & Gabrilovich E.
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