As detailed in a recently released paper, the SleepFM AI model analyzes a comprehensive suite of physiological recordings to ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road. A new artificial intelligence model developed by Stanford Medicine ...

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

A Stanford AI model trained on nearly 600,000 hours of sleep data can assess future risk for dementia, heart disease and more ...

SleepFM showed especially strong results for Parkinson’s disease (C-index 0.89), dementia (0.85), hypertensive heart disease (0.84), heart attack (0.81), prostate cancer (0.89), breast cancer (0.87), ...

A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including dementia.

(This is an excerpt of the Health Rounds newsletter, where we present latest medical studies on Tuesdays and Thursdays.) By ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road. A new artificial intelligence model developed by Stanford Medicine ...

A grotesque digital model shows reveals what humans could look like in 2050 if we don't start getting enough shut-eye. 'Hannah', created by Bensons for Beds and sleep expert Dr Sophie Bostock, reveals ...

The model also offers new ways to think about other common patterns. One surprising finding is that waking up earlier as we get older may not be driven mainly by changes to the body clock, as often ...