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New AI model predicts risk of 130 diseases using sleep study data
short by Neeraja Nath / on Friday, 9 January, 2026
Stanford scientists developed SleepFM, an AI system that can estimate a person's risk of developing nearly 130 medical conditions by analysing body signals from a single night of sleep. The system is trained on 585,000 hours of polysomnography data from 65,000 individuals. It successfully forecast risks for cancers, pregnancy complications, circulatory diseases and mental health disorders.
read more at Stanford Report