Publication
Developing a Histology-Based Artificial Intelligence Biomarker to Predict Adjuvant Chemotherapy Benefit in Pancreatic Cancer.
Audrey Beaufils, Julien De Martino, Xiaofeng Jiang, Théau Blanchard, Nicolas Fraunhoffer, Diana Mendes, Camille Pignolet, Taib Bourega, Asier Rabasco Meneghetti, Srividhya Sainath, Miguel Albuquerque, Nathalie Colnot, Matthieu Tihy, Anthony Turpin, Meher Ben Abdelghani, Alice Wei, Emmanuel Mitry, Thierry Lecomte, James Biagi, Pascal Artru, Ludovic Evesque, Aurélien Lambert, Daniel J Renouf, Marjorie Mauduit, Nelson J Dusetti, Pascal Hammel, Thierry Conroy, Jean-Baptiste Bachet, Louis de Mestier, Vinciane Rebours, Jérôme Cros, Jakob Nikolas Kather, Rémy Nicolle
- Source
- PubMed
- Retrieved
- Sep 14, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20260914-000001
Abstract
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PURPOSE: The choice of adjuvant chemotherapy in pancreatic ductal adenocarcinoma (PDAC) is mainly guided by patients' general condition. We hypothesized that tumor morphology may predict differential treatment benefit and tested whether deep learning applied to histology images could derive a…
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- cancerMalignant Pancreatic Neoplasmdictionary0.60
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