Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...

A research team from the Department of Pharmacology and Pharmacy at the LKS Faculty of Medicine of the University of Hong Kong (HKUMed) has developed an innovative AI-based cardiovascular risk ...

Scientists developed an AI-powered MRI body composition calculator using data from over 66,000 adults, revealing how hidden changes in fat and muscle with age can signal future risks of diabetes, ...

A new artificial intelligence model in the United States, SleepFM, has found that patterns in human slumber can be used to ...