Researchers have developed an artificial intelligence model that can predict one's risk of developing over a hundred different health conditions using sleep data. Named 'SleepFM', the model was developed by researchers, including those from the US' Stanford University, and trained on nearly six lakh hours of sleep data, collected from 65,000 participants. The AI system, described in a paper in the journal Nature Medicine, was initially tested on standard tasks involving sleep analysis, such as tracking different stages of sleep or diagnosing severity of sleep apnoea. The model was then used to predict the future onset of disease by analysing sleep data, with health record data sourced from a sleep clinic. More than 1,000 disease categories in the health records were looked at and 130 could be predicted with reasonable accuracy using a patient's sleep data, the researchers said. "We record an amazing number of signals when we study sleep. It's a kind of general physiology that we s