Wednesday, June 03, 2026 Predicting recurrence of pancreatic cancer after surgery could inform clinical decision making, including adjuvant therapies and follow-up. This study aimed to develop and validate a deep learning model using digitized whole-slide images (WSI) of histopathology. A meta-analysis of a single-center cohort from Princess Margaret Cancer Centre, a multicenter cohort from France, and the PRODIGE 24 trial of adjuvant chemotherapy. Wong A, Bourega TA, Nicolle R, Elqaderi A, Nowak KM, Light N, Wang X, Quan W, Ji Z, Abbas-Aghababazadeh F, Henault D, He JC, Chen Z, Hutchinson S, Dodd A, Wilson J, Jang GH, Biankin A, Chang D, O'Callaghan C, Biagi J, Conroy T, Hammel P, Notta F, Knox JJ, Gallinger S, Krishnan RG, Cros J, Grant RC, Wong A. Deep Learning of Histopathology Predicts Outcomes After Surgery for Pancreatic Cancer. JCO Clinical Cancer Informatics 10: e2500268. 2026.https://ascopubs.org/doi/abs/10.1200/CCI-25-00268
