AI Model Uses Sleep Data to Predict Long-Term Disease Risks
Originally Published 7 days ago — by Nature
The article introduces SleepFM, a large-scale foundation model trained on over 585,000 hours of sleep data from 65,000+ participants, which captures complex sleep physiology across multiple modalities and demonstrates strong predictive power for a wide range of diseases, outperforming traditional models and showing robust generalization across datasets and time.