Using artificial intelligence, UT Southwestern scientists have identified thousands of genetic mutations likely to affect the immune system in mice. The work is part of one Nobel laureate's quest to find virtually all such ...
Jul 7, 2021
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14
Researchers at University of California San Diego School of Medicine used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data—which genes are "on" or "off" during infection—to look ...
Jun 11, 2021
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A new University at Buffalo study reports on the advantages of using artificial intelligence to better understand Type 2 diabetes across the United States.
Mar 30, 2021
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As a result of rising medication costs, patients often stop following medical treatment plans and fail to get better. Without detailed information, medical practitioners can do little to help.
Dec 18, 2020
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The receptive field (RF) of a neuron is the term applied to the space in which the presence of a stimulus alters the response of the same neuron. The responses of visual neurons, as well as visual perception phenomena in ...
Nov 24, 2020
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A team of researchers at the University of Minnesota recently developed and validated an artificial intelligence algorithm that can evaluate chest X-rays to diagnose possible cases of COVID-19. Working together with M Health ...
Oct 1, 2020
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As the coronavirus pandemic endures, the socio-economic implications of race and gender in contracting COVID-19 and dying from it have been laid bare. Artificial intelligence (AI) is playing a key role in the response, but ...
Sep 7, 2020
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Led by researchers in the Nossal Institute for Global Heath at the University of Melbourne, the project is analysing the stories and collating key lessons about health systems' responses to the pandemic across a range of ...
Aug 24, 2020
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5
From lowering your risk of obesity and cardiovascular disease to improving your concentration and overall daily performance, sleep has been proven to play a critical role in our health. In a new study, researchers at University ...
Aug 4, 2020
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To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant ...
Jul 28, 2020
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