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

A new artificial intelligence model in the US, SleepFM, has found that patterns in human sleep can be used to predict a ...

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

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

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

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

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

A Stanford-led research team has built an AI system that can read hidden warning signs of future illness from just one ...

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

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 ...

AI from Stanford Reads Disease Risks in Sleep: SleepFM Predicts Over 130 Ailments from One Night.