A new AI model in the US, SleepFM, has found that patterns in human slumber can be used to predict a person's risk for about 130 diseases, including dementia and certain cancers.
Morning Overview on MSN
Stanford AI spots disease warnings hiding in your sleep data
While most of us treat a sleep study as a one-night inconvenience, researchers are now turning that single session into a ...
Professionals worldwide gain standardized recognition for web development skills through assessment-based certification ...
Project seeks to understand social, environmental and economic impacts of paper mill closures while uncovering new ...
AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.
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O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
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Healthcare AI is scaling faster than clinical safety. Without clinicians in the loop, companies face growing liability, ...
Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
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