1268-Deep Learning Biomarkers for Gastric Cancer Prognosis
Researchers have developed a Transformer-based deep learning framework to create an interpretable pathological risk score (TPRS) for gastric cancer patients. This AI model analyzes routine whole-slide images to improve survival predictions beyond the capabilities of the traditional TNM staging system. Validated on both internal and external datasets, the tool acts as an independent prognostic biomarker and effectively identifies stage III patients who would benefit from adjuvant chemotherapy. By integrating transcriptomic data with cellular morphology, the study establishes a biological…
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