Scientists from Tufts University's School of Arts and Sciences, the Allen Discovery Center at Tufts, and the University of Maryland, Baltimore County have used artificial intelligence to gain insight into the biophysics of ...
Jan 27, 2017
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(Medical Xpress)—The classic theory of the brain is one of connections, in which the brain consists of a network of neurons that interact with each other to allow us to think, see, interpret, and understand the world around ...
A study published today in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying patient cells with artificial intelligence methods for image ...
Mar 25, 2022
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An artificial intelligence (AI)-based computer algorithm accurately predicted a person's likelihood of suffering heart problems related to clogged arteries based on voice recordings alone, in a study presented at the American ...
Mar 24, 2022
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Artificial intelligence can help make medicine more efficient and safer. China is a forerunner in this field; we must not miss the boat, says Walter Karlen.
Sep 6, 2018
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The eyes are often referred to as the "windows to the soul." In fact, there is a grain of neurobiological truth to this. An international research team from the Universities of Göttingen and Tübingen, Germany, and Baylor ...
Sep 29, 2022
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(Medical Xpress)—A team of researchers at the University of Nottingham in the U.K. has found that artificial intelligence systems can be better at gauging a patient's risk of a heart attack than doctors using a standard ...
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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Inherited retinal diseases (IRDs), single-gene disorders affecting the retina, are very difficult to diagnose since they are uncommon and involve changes in one of many candidate genes. Outside specialist centers, there are ...
Jun 9, 2023
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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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