1202-PathPrism: for Histopathology Biomarker Discovery
The paper introduce PathPrism, an innovative AI framework designed to improve cancer research by converting complex medical images into interpretable spatial biomarkers. Unlike traditional "black-box" models that offer little insight into their decision-making, this system deconstructs tissue architecture into quantified semantic maps and pathologically grounded features. By analyzing over 7,000 patients, the researchers demonstrated that these transparent representations can accurately predict patient survival, genetic mutations, and treatment efficacy. A key feature, VirtualWSI, allows…
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