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We are working to create new machine learning tools and discover opportunities to increase the access and accuracy of healthcare globally.

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About the team

Transformative healthcare technologies build upon translational research to realize long-term potential. Our Health AI team embraces a model of embedded research and development where scientists work in tight integration with clinical, product, and engineering teams, collaborating with academic and clinical partners globally to conduct research into improving healthcare. Read about some of our recent efforts on the Google AI blog and Google Keyword blog.

Team focus summaries

Imaging and diagnostics

In partnership with healthcare organizations globally, we’re working to develop robust new ML-enabled tools designed to assist clinicians. Drawing from diverse datasets, high-quality labels, and state-of-the-art deep learning techniques, we hope to translate the promise of ML into better and more equitable care.

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Sequencing genomes enables clinicians to identify variants in a person’s DNA that indicate genetic disorders such as an elevated risk for breast cancer. DeepVariant is an open-source variant caller that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

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Mobile sensing

We’re exploring the ways that sensors that are already built into smartphones and other devices, such as the camera and accelerometer, can also be helpful for daily health and wellness.

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Public health

We are developing tools and resources for the broader public health community, epidemiologists, analysts and researchers working to understand and address the impacts of COVID-19 and other public health needs.

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Some of our people