Stanford researchers unveil an AI model that uses sleep data as an early indicator of long-term disease risk, opening new frontiers in preventive and predictive healthcare.
- 1 single night of sleep can predict risk for 130+ diseases
- Model trained on ~585,000 hours of sleep data from ~65,000 individuals
- Predictive performance reaches C-index up to 0.85 for dementia and mortality
- Covers cardiovascular, neurological, metabolic, kidney diseases & some cancers
- Built as a foundation AI model (SleepFM), similar in concept to large language models
Source:
https://news.stanford.edu/stories/2026/01/ai-model-sleep-disease-risk-research-sleepfm