01/12/2026
What if you could predict your risk for specific diseases based on a single night of sleep? Researchers at Stanford University have successfully tackled the challenge using an artificial intelligence model and developed a system called SleepFM. Using data from body signals recorded in 65,000 patients with a previous in-laboratory sleep study, the model was able to identify a person’s risk, with 80% or above accuracy, to later develop Alzheimer’s Disease (91%), Parkinson’s Disease (89%), prostate cancer (89%), breast cancer (87%), dementia (88%), hypertensive heart disease (84%), stroke (81%), myocardial infarction (81%), and heart failure (80%). This new AI model may prove to be a valuable tool, along with existing assessment tools, to help identify early signs of diseases.
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