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From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction.

Seminars in cancer biology - 1 Jul 2025

Farinella Riccardo, Felici Alessio, Peduzzi Giulia, Testoni Sabrina Gloria Giulia, Costello Eithne, Aretini Paolo, Blazquez-Encinas Ricardo, Oz Elif, Pastore Aldo, Tacelli Matteo, Otlu Burçak, Campa Daniele, Gentiluomo Manuel

Abstract excerpt

Pancreatic ductal adenocarcinoma (PDAC) is recognized as one of the most lethal malignancies, characterized by late-stage diagnosis and limited therapeutic options. Risk stratification has traditionally been performed using epidemiological studies and genetic analyses, through which key risk factors, including smoking, diabetes, chronic pancreatitis, and inherited predispositions, have been identified. However,...

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Artificial Intelligence
Carcinoma, Pancreatic Ductal
Genetic Predisposition to Disease
Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Machine Learning

Pancreatic Neoplasms

Risk Assessment

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Identifiers

PMID: 40147701
DOI: 10.1016/j.semcancer.2025.03.004

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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