Sleep Medicine

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AI SleepFM analyzing one night of sleep data in a Stanford lab to predict risks for 130 health conditions like dementia and heart disease.
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Stanford-led AI uses one night of sleep-lab data to estimate future risk for 130 conditions

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Stanford Medicine researchers and collaborators report that an artificial intelligence model called SleepFM can analyze a single overnight polysomnography study and estimate a person’s future risk for more than 100 medical conditions, including dementia, heart disease and some cancers. The team says the system learns patterns across multiple physiological signals recorded during sleep and could reveal early warning signs years before clinical diagnosis.

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