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Current regimens, such as FOLFIRINOX and gemcitabine\u2010based combinations, are selected empirically without validated biomarkers to guide choice. Several strategies have been explored to personalize therapy. Patient\u2010derived organoids and molecular classifiers such as PurIST have improved biological understanding but have limited clinical applicability. More recently, predictive transcriptomic signatures have emerged as practical tools.\n                    <jats:italic>GemPred<\/jats:italic>\n                    identifies patients likely to benefit from adjuvant gemcitabine;\n                    <jats:italic>GemCore<\/jats:italic>\n                    , validated in both resected and metastatic tumors, is compatible with small biopsies; and\n                    <jats:italic>Pancreas\u2010View<\/jats:italic>\n                    integrates multiple drug\u2010specific predictors, including for all FOLFIRINOX components and gemcitabine, enhanced by AI. 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