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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.
Women’s Day is a moment to recognise women who have shaped different fields, including technology and artificial intelligence ...
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 ...
How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...
Researchers at Fred Hutch Cancer Center are testing whether a collaborative AI research platform can accelerate the pace of ...
Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...
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