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

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.

AI system predicts risk for 130 diseases from one night's sleep with up to 85% accuracy. Sleep patterns show hidden health ...

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 ...

SleepFM showed especially strong results for Parkinson’s disease (C-index 0.89), dementia (0.85), hypertensive heart disease ...

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 ...

People who brought their blood glucose down to a normal level had a lower risk of death from heart disease or hospitalization for heart failure after 20 years. By Nina Agrawal People with prediabetes ...

Note: A previous version of this story was published on Jan. 9, 2025. If you're headed out to shovel a path after Indiana's most recent snowfall, the American Heart Association has encouraged Hoosiers ...