The AI system, described in a paper in the journal Nature Medicine, was initially tested on standard tasks involving sleep ...

Detecting cancer in the earliest stages could dramatically reduce cancer deaths because cancers are usually easier to treat when caught early.

Stanford Medicine scientists and their colleagues created the first artificial intelligence model that can predict more than 100 health conditions from one night’s sleep.

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

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 ...

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

Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...

Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...

People who brought their blood glucose down to a normal level had a lower risk of death from heart disease or hospitalization for heart failure after 20 years. By Nina Agrawal People with prediabetes ...

As the science of Crohn’s disease (CD) rapidly evolves, the American Gastroenterological Association (AGA) has issued a living guideline on the pharmacologic management of moderately to severely ...

Background: Cognitive impairment in Parkinson’s disease (PD-CI) is a prevalent non-motor symptom, significantly diminishing quality of life and imposing a substantial family burden. Effective ...