learning

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more accurately, than people.…
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Some patients with advanced heart failure can benefit from the support of a continuous-flow left ventricular assist device (CF-LVAD) to sustain heart function. However, despite improvements managing complications associated…
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if (g_displayableSlots.mobileTopLeaderboard) { pushDisplayAd(function() { googletag.display('div-gpt-mobile-top-leaderboard'); }); } Health Data ScienceNov 4 2024 Researchers from Peking University have…
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Rheumatoid arthritis is a common disease affecting an estimated 17 million people worldwide. The disease is caused by immune cells attacking the joints and can result in pain, swelling, and damage to the cartilage and bone.…
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In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The review, published in…
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Discoveries that impact lifespan and healthspan in fruit flies are usually tested in mice before being considered potentially relevant in humans, a process that is expensive and time intensive. A pioneering approach taken at…
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By monitoring workers' vital signs and movements in real-time, researchers have developed a powerful system to predict fatigue, offering companies a cutting-edge solution for reducing injuries and improving job performance.…
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Mental ill-health among students in higher education is a growing problem globally. Most efforts implemented to address ill-health involve individual treatment and adjustments to pedagogy. But more can and needs to be done at…
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A sense of time is fundamental to how we understand, recall, and interact with the world. Tasks ranging from holding a conversation to driving a car require us to remember and perceive how long things take-;a complex but…
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In a recent study published in the journal Science Advances, researchers in the United States used 3D transport-based morphometry (TBM) to identify and visualize brain changes linked to 16p11.2 genetic copy number variation…
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