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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
According to a new study conducted by academics at UCL and the University of the Republic in Uruguay, daytime napping may assist to protect brain function by slowing the speed at which our brains shrink as we age.The study, published in the journal Sleep Health, analysed data from people aged 40 to 69 and found a causal link between habitual napping and larger total brain volume - a marker of good brain health linked to a lower risk of dementia and other diseases.Senior author Dr Victoria Garfield (MRC Unit for Lifelong Health & Ageing at UCL) said: "Our findings suggest that, for some people, short daytime naps may be a part of the puzzle that could help preserve the health of the brain as we get older."Previous research has shown that napping has cognitive benefits, with people who have had a short nap performing better in cognitive tests in the hours afterwards than counterparts who did not nap.The new study aimed to establish if there was a causal relationship between ...