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Article

A multimodal framework for assessing the link between pathomics, transcriptomics, and pancreatic cancer mutations.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society - 1 Jul 2025

Berloco Francesco, Zaccaria Gian Maria, Altini Nicola, Colucci Simona, Bevilacqua Vitoantonio

Abstract excerpt

In Pancreatic Ductal Adenocarcinoma (PDAC), predicting genetic mutations directly from histopathological images using Deep Learning can provide valuable insights. The combination of several omics can provide further knowledge on mechanisms underlying tumor biology. This study aimed at developing an explainable multimodal pipeline to predict genetic mutations for the KRAS, TP53, SMAD4, and CDKN2A genes,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 40107149
DOI: 10.1016/j.compmedimag.2025.102526

Genes

CDKN2A
KRAS
SMAD4
TP53

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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