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 ...

Polysomnography is considered the gold-standard overnight sleep exam that uses various sensors to record brain activity, ...

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

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

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

Researchers have used artificial intelligence to identify new patterns in sleep that may provide insight into an individual’s ...

As per Stanford Medicine, SleepFM excelled at predicting Parkinson’s disease, dementia, hypertensive heart disease, heart attack, prostate cancer, breast cancer and death.

Researchers have developed an AI model, SleepFM, that uses sleep data from polysomnography to predict the risk of over 100 ...

This model gives us hope that sleep problems can be better understood and tackled. By using maths, we can see how small changes in light, routine or biology shift our sleep, and test practical ways to ...

Sleep is a hot commodity—we want it, we need it, but most of us aren't getting enough of it. Factors like stress, jet lag, work, diet and screen time all interfere with our ability to get the 7–9 ...