For women with a family history of breast cancer, existing breast cancer risk prediction models show similar modest discriminatory accuracy, according to research published online June 1 in The Cochrane Database of Systematic Reviews to coincide with the annual meeting of the American Society of Clinical

The integration of AI into digital pathology through general-purpose foundation models promises to significantly enhance various tasks, such as cancer detection and subtyping. However, these powerful AI systems also introduce severe vulnerabilities,

Population-based pathogenic variant testing identified breast cancer susceptibility gene carriers who would often be missed by clinical risk models, even when polygenic risk scores were added. In the WISDOM Study analysis,

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, titled Human interpretable grammar encodes multicellular ...

Please provide your email address to receive an email when new articles are posted on . Both incidence and mortality rates for uterine cancer are expected to increase through 2050. Black women will experience disproportionate increases compared with white ...

Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity—the financial stress and hardship that can accompany a cancer diagnosis and treatment.