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

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 ...

“We record an amazing number of signals when we study sleep,” co-senior researcher Dr. Emmanuel Mignot, a professor of sleep ...

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

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 ...

In many parts of the country, children and their parents face months-long wait times for sleep tests at labs. With obesity rising among the pediatric population, at-home sleep tests to assess sleep ...

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

What is a sleep study? A sleep study, also known as a polysomnogram, is a diagnostic test that monitors various body functions while a person is asleep. It is most commonly used to diagnose sleep ...

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

St. Luke’s University Health Network’s Miners Campus, formerly Coaldale State General Hospital, has expanded its sleep lab to ...

Teens catching up on sleep on weekends show a 41% lower risk of depression, per a UO study. Supports flexible rest as a ...