A new artificial intelligence model in the United States, SleepFM, has found that patterns in human slumber can be used to ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Morning Overview on MSN
Stanford AI can flag disease risk after just 1 night of sleep
Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...
A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...
A Stanford AI model trained on nearly 600,000 hours of sleep data can assess future risk for dementia, heart disease and more using one night of sleep, researchers say.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Professor Ibrahim Adeola Katibi, a renowned cardiologist, teaches at the University of Ilorin in Kwara State. He is a former ...
Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.
The technique is called CLASSIC — an acronym for “combining long- and short-range sequencing to investigate genetic ...
Driven by metrics, fuelled by AI and never far from a ‘hmm, really?’ TikTok trend, wellness has never been more complex. Or ...
Menopause, when a woman’s period ceases, is a stark example of the consequences of ovarian aging. It occurs when the ovaries ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
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