A risk model that combines a mammographic artificial intelligence (AI) risk score with polygenic and clinical risk scores ...

Carnegie Mellon University researchers are using personalized models to decode how cancer behaves in individual patients—revealing hidden subtypes, improving survival predictions and charting a new ...

Indiana University researcher Paul Macklin co-authored a paper in the prestigious journal Cell that details the creation of PhysiCell, a power a powerful open-source cancer modeling tool The article, ...

So as daunting as a cure for cancer remains, I am certain that AI will contribute to it. And if curing cancer were the only ...

Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...

Abnormal metabolism is a hallmark of cancer, this was initially recognized nearly a century ago through the observation of aerobic glycolysis in cancer cells. Mitochondrial respiration can also drive ...

A model based on proteins vs. a questionnaire had higher discrimination in predicting lung cancer risk in individuals with a smoking history, according to data presented at the American Thoracic ...

Gold compounds are a promising class of experimental anticancer metallodrugs. Unlike platinum-based drugs, their antiproliferative effects are thought to result mainly from modulation of cancer cell ...

Leveraging the Rural-Urban Commuting Area Tool to Address Geographic Disparities in Cancer Care: A Dual-Application Framework for Institutional and National Initiatives We adapted an established ...

A gastrointestinal oncologist told Newsweek that the early-stage findings are a “major step forward” in targeting the spread ...

A carefully designed metal-free carbon monoxide prodrug may help prevent some of the deadliest forms of cancer from spreading, according to researchers at Weill Cornell Medicine.