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Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning

2026-01-08

Abstract excerpt

<h4>Background and aims</h4> Molecular subtyping of pancreatic ductal adenocarcinoma (PDAC) into basal-like and classical has established prognostic and predictive value. However, its use in clinical practice is limited by cost, turnaround time, and tissue requirements, thereby restricting its application in the management of PDAC. We introduce PanSubNet (PANcreatic SUBtyping NETwork), an interpretable deep learn...

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Literature Corpus work
e3385436-9a07-5b68-8ebc-7369e93a3056
DOI
10.64898/2026.01.06.26343539
Open publication

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Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep LearningDOI 10.64898/2026.01.06.26343539
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