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

The results of this study provide further clinical evidence that patient-applied, patch-based PSG is a viable alternative to in-lab PSG, enabling broader access to gold-standard sleep testing.

Artificial intelligence can use brain recordings from a single night in a sleep lab to predict a person's risk of developing ...

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 ...

Study demonstrates comparable performance between wireless, patch-based Onera Sleep Test System and in-lab polysomnography for sleep staging and respiratory event detection. EINDHOVEN, ...

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

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

A unique AI model developed by Stanford University researchers and their colleagues could one day be used to predict your ...

Deep sleep earlier in life could be the key to keeping healthy cognition. The key to keeping your wits about you as you age may lie in shut-eye during midlife. A study found that people over 60 who ...

The following information was released by the National Sleep Foundation:. Brian Clark is a writer and educator based in Los Angeles. His articles have appeared in The Austin Chronicle, Movieline and ...