Emmanuel Mignot

Stories

AI cracks the sleep code: one night predicts 130 diseases

Co-senior author of SleepFM study published in Nature Medicine

Stanford researchers trained an AI on 600,000 hours of people sleeping. SleepFM analyzes brain waves, heartbeats, and breathing from a single night and predicts your risk for 130 diseases—dementia, heart attacks, cancer, mental disorders—with over 80% accuracy. The breakthrough turns a night of sleep into a comprehensive disease-screening tool.

Updated May 19

Notable Quotes

The most information we got for predicting disease was by contrasting the different channels. Body constituents that were out of sync—a brain that looks asleep but a heart that looks awake—seemed to spell trouble.

from AI cracks the sleep code: one night predicts 130 diseases · Updated May 19

We record an amazing number of signals when we study sleep.

from AI cracks the sleep code: one night predicts 130 diseases · Updated May 19

We record an amazing number of [health] signals when we study sleep. It's a kind of general physiology that we study for eight hours in a subject who's completely captive.

from AI cracks the sleep code: one night predicts 130 diseases · Updated May 19