Google is committed to health for everyone, everywhere
We believe everyone, everywhere deserves the opportunity to be healthier on their own terms. We are committed to scaled upstream, data-driven, human-centered solutions to lift model and product performance. To meet the opportunity, we're using novel, scalable scientific methods that center humans by collaborating with communities and experts across various fields. Our aim is to leverage our technology and resources to accelerate innovation and ensure our products, services, and research help everyone achieve their full health potential. Together, we can create a world where individuals, caregivers, and communities thrive.
Health for everyone, everywhere, in action across Google
Google aims to improve the health of billions, focusing on everyone, everywhere. Here are a few examples of how Google is helping to advance health.
Health for everyone
We strive to empower individuals to understand, manage, and optimize their health by providing user-friendly resources, tools and platforms that enable people to proactively monitor their well-being, gain deeper understanding of their health, and make informed decisions about their health journey.
Authoritative Health Sources on YouTube
YouTube's efforts to elevate authoritative health sources are advancing health by ensuring that everyone has access to credible health information. YouTube is prioritizing videos from trusted institutions and medical professionals, helping to level the playing field and combat the spread of misinformation. We also launched THE-IQ to expand access to authoritative health information through health content creators, to meet individuals and communities where they are. This commitment to providing reliable health content empowers users to make informed decisions about their well-being and contributes to a better health landscape for all.
Search for Skin Conditions with Lens
Lens can help you search for skin conditions that are visually similar to what you see on your skin. This helps those who have trouble describing symptoms or face access barriers by making it easier to understand skin conditions, promoting early detection, and improving access to information, especially for communities with limited access to skin information.
Health everywhere
By addressing local needs and improving health outcomes in communities around the world, we are working to create a world where everyone has the opportunity to live a healthy life.
Open Health Stack
We are tackling global health by empowering frontline health workers in low resource countries with powerful digital tools. By fostering open-source innovation, demonstrating impactful solutions, and collaborating with the global health community, this opportunity can ensure everyone has a chance at a healthier life.
AfriMed-QA
AfriMed-QA is a new approach to AI in health. By creating a unique dataset of 25,000 Africa-focused question-answer pairs, we aim to help researchers and health professionals to rigorously evaluate and understand the capabilities of large language models (LLMs) within the landscape of African health. This initiative empowers African researchers and health professionals to harness the full potential of LLMs, ensuring they are used effectively and responsibly to address local needs and improve health outcomes.
Health on your own terms
We are enabling personalized health journeys by developing tools and resources that empower individuals to address their unique health needs on their own terms, delivering relevant information and support at the right time.
Health AI Developer Foundations (HAI-DEF)
HAI-DEF accelerates AI development for health by providing open-weight models, tools, recipes, and documentation. These resources can act as a starting point for developers, reducing the amount of data and development to build models from scratch. By providing access to these AI building blocks, developers can innovate to build new products that impact patient care.
Representations of human variation
Google Research engineers contributed to the Human Pangenome Reference Project, revolutionizing how we understand human genetic variation. By contributing cutting-edge AI technology like DeepVariant and DeepConsensus to the Human Pangenome Reference Project, they've achieved an unprecedented 99.999% accuracy in representing the vast spectrum of human genomes. This breakthrough will pave the way for more accurate genetic testing and treatments, ensuring everyone can be represented in the promise of personalized medicine.
Skin Condition Image Network (SCIN)
SCIN provides a crowd - sourced collection of over 10,000 dermatology images. This valuable resource, created in collaboration with Stanford Medicine, empowers individuals to participate in research and empowers health professionals with the knowledge to accurately identify skin conditions across a wide range of skin tones.