A team of researchers from National University of Singapore (NUS), in collaboration with clinicians from the National University Cancer Institute, Singapore (NCIS) which is part of the National University Health System (NUHS), ...
Jun 13, 2022
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Research into drugs to treat mosquito-borne flaviviruses such as Zika and dengue as well as COVID-19 will benefit from a major funding boost, says a group of international scientists using artificial intelligence to discover ...
Jun 13, 2022
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In a new study, Florida State University researchers explore the challenges of recruiting and retaining older adults to participate in research.
May 10, 2022
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Atrial fibrillation, the most common cardiac rhythm abnormality, has been linked to one-third of ischemic strokes, the most common type of stroke. But atrial fibrillation is underdiagnosed, partly because many patients are ...
May 2, 2022
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Data contains much more than just the information on the surface. With statistics, deeper cause-and-effect relationships can be brought to light. This is what Alexander Marx is researching as a Fellow at the ETH AI Center ...
Apr 13, 2022
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Researchers at the Yale Cardiovascular Data Science (CarDS) Lab have developed an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, regardless of format or layout, ...
Mar 31, 2022
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A new form of magnetic resonance imaging (MRI) that makes cancerous tissue glow in medical images could help doctors more accurately detect and track the progression of cancer over time.
Mar 21, 2022
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Artificial intelligence/machine learning involves the development of computer systems that perform tasks that would normally require human intelligence. AI/ML is used by people every day, for example, while using smart home ...
Dec 8, 2021
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Researchers are using artificial intelligence (AI) to detect behavioral signs of anxiety with more than 90 percent accuracy, and suggest that AI could have future applications for addressing mental health and well-being. ...
Nov 30, 2021
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An international group of researchers has successfully applied AI technology to real-world retinal imagery to detect possible diseases more accurately and on a larger scale.
Oct 11, 2021
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