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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.
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
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 ...
NEW YORK, Feb. 11, 2026 /PRNewswire/ -- A molecule that helps regulate gene activity has also been shown to drive skin cancer growth and tumors' ability to evade attack by the body's immune system, a ...
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 ...
Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...
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