Publication
Development and Validation of a Computational Histology Artificial Intelligence-Powered Predictive Biomarker for Selection of Chemotherapy in Advanced Pancreatic Cancer.
Andrew E Hendifar, Viswesh Krishna, Vrishab Krishna, Haochen Zhang, Asit Tarsode, Vivek Nimgaonkar, Katelyn Smith, Kawther Abdilleh, Snehal Sonawane, Akshay Neema, Ekin Tiu, Brent K Larson, Vladimir Kazarov, Natalie Moshayedi, Shawn Hutchinson, Daniela Bevacqua, Sudheer Doss, Alejandra Alvarez, Drew Watson, Waleed M Abuzeid, Barbara T Grünwald, Marcus Noel, Rashmi Samdani, Dove Keith, Rosalie C Sears, Davendra Sohal, Christos Fountzilas, Grainne M O'Kane, Robert C Grant, Arsen Osipov, Eric A Collisson, Lesli A Kiedrowski, Trevor J Royce, Anirudh R Joshi, Aatur D Singhi, Jennifer J Knox
- Source
- PubMed
- Retrieved
- Sep 14, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20260914-000001
Abstract
Abstract (excerpt)
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PURPOSE: Predictive biomarkers to guide selection of first-line chemotherapy for advanced pancreatic ductal adenocarcinoma (PDAC) are an unmet clinical need. This study used the Computational Histology Artificial Intelligence (CHAI) platform to develop and validate a histomorphology-based G-chemo…
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- cancerMalignant Pancreatic Neoplasmdictionary0.60
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