AI model suggests CPAP can massively swing heart risk in sleep apnea
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Researchers have developed an AI model called SleepFM that can predict the risk of over 100 health conditions using sleep data. The model was trained on nearly 600,000 hours of sleep data from 65,000 participants and achieved strong predictive performance for conditions such as cancer, pregnancy complications, and mental disorders.
Researchers developed an AI model called SleepFM to predict disease risk from sleep data. The model was trained on 600,000 hours of sleep data from 65,000 participants. It was tested on standard sleep analysis tasks and then used to predict future disease onset. The model achieved strong predictive performance for conditions like cancer and mental disorders. SleepFM incorporates multiple streams of data, including brain activity and heart function. It was developed by researchers from Stanford University and others.
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