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Researchers develop versatile machine learning tool to automate complex clinical diagnostics
A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...
A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a ...
University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...
A breakthrough personalized mRNA cancer vaccine that trains the immune system to target patients' unique tumor mutations is showing promising results. Five-year trial data show the risk of recurrence ...
Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...
News-Medical.Net on MSN
AI cancer tools may be using visual shortcuts rather than true biology
New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals. Artificial intelligence tools are ...
Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
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Iowa's new cancer map zooms into ZIP codes
As Iowa grapples with its growing cancer rates, a mapping tool by University of Iowa researchers is helping health officials and residents examine cancer at a hyper-local level. Why it matters: Prior ...
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