Driving health innovation for everyone, everywhere
We believe everyone, everywhere deserves the opportunity to be healthier on their own terms, and we're committed to leveraging data-driven, human-centered solutions and novel scientific methods to achieve this. Our aim is to accelerate innovation through technology and collaboration, ensuring we help everyone reach their full health potential.

Health for everyone, everywhere, in action across Google
Here are a few examples of how Google is helping to advance health.

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Representations of human variation
In collaboration with researchers and scientists across the globe, 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.
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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 and improving access to information, especially for communities with limited access to skin information.
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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.
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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.
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Simplify
Simplify is a feature in the Google app on iOS that uses AI to make complicated text on the web easier to understand without leaving a web page. This feature can help make information more accessible and easier to understand, including navigating health information.
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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.
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