Predicting 130 health conditions while you sleep
Imagine an AI model that can predict 130 health conditions like heart attacks, dementia, Parkinson’s, kidney disease, even some forms of cancer, from your sleep patterns.
The researchers at Stanford have done just that, with what they call SleepFM, a new AI foundation model.
SleepFM was trained on 600K hours of sleep data from 65,000 participants. They’re analysing brain waves, heart activity, breathing, and muscle signals.
When body signals fell out of sync, like a brain in deep sleep with a racing heart, the model flagged it as a warning sign for future disease.
The team linked 25 years of Stanford Sleep Clinic health records to sleep data, testing predictions across 1,000+ disease categories.
SleepFM predicted accuracy is:
→ Parkinson's at 89%
→ dementia at 85%
→ heart attacks at 81%
→ General risk of death at 84%
Recording our sleep could provide an early warning system, enabling proactive treatment of underlying conditions. As wearable technology becomes more advanced, it could move predictive health monitoring to our bedrooms, as we sleep.
