Scientists have made major advances in understanding and developing treatments for many cancers by identifying genetic mutations that drive the disease. Now a team led by researchers at Weill Cornell Medicine, NewYork-Presbyterian ...
May 10, 2021
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Russian scientists have proposed a new algorithm for automatic decoding and interpreting the decoder weights, which can be used both in brain-computer interfaces and in fundamental research. The results of the study were ...
Mar 23, 2021
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AI has, for some time, been applied to diagnose medical conditions in specific fields. It can build on knowledge of particular disciplines to hone in on details such as the shape of a tumor that suggests breast cancer or ...
Mar 16, 2021
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It does not happen often. But on rare occasions, physicians make mistakes and may make a wrong diagnosis. Patients may have many diseases all at once, where it can be difficult to distinguish the symptoms of one illness from ...
Feb 16, 2021
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When the novel coronavirus pandemic spread across the globe, governments and institutions worldwide faced hard decisions about who to test for the virus—and when—with limited testing supplies.
Jan 22, 2021
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For Dr. Mary-Anne Hartley, a medical doctor and researcher in EPFL's intelligent Global Health group (iGH), 2020 has been relentless. "It's not a relaxing time to study infectious diseases," she explained.
Dec 3, 2020
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With communities across the nation experiencing a wave of COVID-19 infections, clinicians need effective tools that will enable them to aggressively and accurately treat each patient based on their specific disease presentation, ...
Nov 23, 2020
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Vanderbilt and VUMC researchers have created a technique that corrects distortions in MRI images, which helps researchers and radiologists to better interpret brain scans.
Nov 11, 2020
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The recovery phase following cardiac arrest continues long after hospitalization and is now included as a key link in the Chain of Survival, a widely adopted series of critical actions that work to maximize the chance of ...
Oct 21, 2020
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KAIST researchers developed a new algorithm for brain imaging data analysis that enables the precise and quantitative mapping of complex neural circuits onto a standardized 3-D reference atlas.
Jun 8, 2020
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