SleepFM AI Predicts Future Disease from One Night of Sleep

A new artificial intelligence model can forecast a person's risk for serious diseases, including dementia and heart failure, using data from a single night of sleep. Researchers developed the system, called SleepFM, by training it on a vast library of over half a million hours of sleep studies from 65,000 individuals. The model examines complex biological signals recorded overnight, including brain waves, heart rhythms, and breathing patterns. From this single snapshot, it identifies subtle indicators of future health problems. The results are startling. SleepFM predicted all-cause mortality with a C-index of 0.84 and dementia at 0.85. It also demonstrated strong predictive performance for heart attack, stroke, and chronic kidney disease. A novel design allows it to function effectively even when a patient's sleep data is incomplete.