AI Analyzes One Night of Sleep to Predict Parkinson's and Alzheimer's Risk

Stanford researchers have developed an artificial intelligence system that can predict the risk of neurodegenerative diseases such as Parkinson's and Alzheimer's by analyzing data from a single night of sleep. The AI examines subtle physiological signals that are invisible to the human eye, generating a "Silent Health Score" that indicates potential disease risk long before symptoms manifest. This breakthrough could enable early intervention and preventive care, transforming how we approach neurological health.