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.

A new AI model in the US, SleepFM, has found that patterns in human slumber can be used to predict a person's risk for about 130 diseases, including dementia and certain cancers.

A new study from the multidisciplinary brain research center at Bar-Ilan University found that jellyfish and sea anemones ...

While most of us treat a sleep study as a one-night inconvenience, researchers are now turning that single session into a ...

A new study says that getting good sleep can help to increase longevity and poor sleep can shorten your lifespan. The study ...

Sleep isn’t just about feeling rested—it may be one of the strongest predictors of how long you live. Researchers analyzing ...

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

St. Luke’s University Health Network opens a $1.8M expanded Sleep Lab at its Miners Campus, boosting access to sleep disorder ...

Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...

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

A new study from Bar-Ilan University shows that one of sleep's core functions originated hundreds of millions of years ago in ...

Studying ancient sea creatures’ snoozing habits could shed light on the origins of sleep.