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New AI model predicts disease risk while you sleep
A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road. A new artificial intelligence model developed by Stanford Medicine ...
Several sleep EEG patterns that contribute to brain age are known to play roles in brain health and memory. These include ...
The factors that govern the timing and duration of sleep and wakefulness continue to be a focal point of vigorous research within the scientific community. Nearly four decades ago, the two-process ...
A new article published in Nature Medicine has shown how a new AI model can be used to predict future disease risk, including several types of heart disease, dementia, kidney disease, and all-cause ...
A transformer-based AI model analyzes eight-hour sleep signals from brain, movement, cardiac, and respiratory data to generate summaries, which are then used to classify sleep stages for the entire ...
A new AI model developed by Duke researchers could help providers connect children in need more quickly with mental health resources. Elliot Hill, data scientist and Duke AI health fellow, led the ...
Surrey's research team used math to show how the 2PM reflects what happens in the brain as people switch between sleep and wakefulness. They showed that the 2PM helps explain why babies at some ...
A deep-learning model achieved significantly higher accuracy and F1-scores for both Cognitive Abilities Screening Instrument and Digit Symbol Coding Test. A deep-learning model vs a comparison model ...
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