AI Predicts 130 Diseases From Your Sleep Patterns

A new artificial intelligence system can analyze your sleep to predict your risk for developing serious diseases. The model, named SleepFM, identifies patterns in sleep data that signal potential future health problems. Researchers in the United States developed the AI. It links specific sleep signatures to approximately 130 different conditions. These include dementia, heart disease, and certain types of cancer. SleepFM uses a technique called foundation modeling. This allows it to process multiple types of sleep data at once, such as brain waves, breathing, and heart rate. The AI finds complex connections within this information that humans might miss. This technology does not diagnose current illness. Instead, it assesses the probability of future disease. The goal is early warning, potentially years before symptoms appear. Experts say such a tool could revolutionize preventive medicine. Doctors might one day use routine sleep studies to create highly personalized health plans. This could allow for earlier lifestyle changes or medical interventions. The research team emphasizes that more testing is needed before SleepFM is ready for clinical use. They are now working to validate the AI's predictions in larger and more diverse populations.