Associate Professor of Biomedical Data Science, Stanford
Appears in 1 story
Co-senior author of SleepFM study
Stanford researchers trained an AI on 600,000 hours of people sleeping. SleepFM analyzes brain waves, heartbeats, and breathing from a single night and predicts your risk for 130 diseases—dementia, heart attacks, cancer, mental disorders—with over 80% accuracy. The breakthrough turns sleep studies into full-body diagnostic scans.
Updated Jan 12
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