Sleep patterns could predict risk for dementia, cancer and stroke, study suggests

New developments in artificial intelligence could use sleep data to predict disease risk, a new study suggests.

Stanford Medicine researchers have developed an AI model trained on nearly 600,000 hours of sleep data collected from over 60,000 participants at various sleep clinics.

The model, called SleepFM, reportedly can predict a person’s risk of developing more than 100 health conditions, according to a press release from the university.

ALZHEIMER'S RISK COULD RISE WITH COMMON CONDITION AFFECTING MILLIONS...