Machine learning identifies 6-gene signature in peripheral blood for pancreatic cancer diagnosis

Machine learning identifies 6-gene signature in peripheral blood for pancreatic cancer diagnosis

Pancreatic ductal adenocarcinoma (PDAC) is associated with a poor prognosis, primarily due to late-stage detection. This underscores the critical need for informative biomarkers enabling earlier diagnosis and improved patient outcomes. This study leveraged machine learning techniques to identify a b...

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Bibliographic Details
Main Authors: Francisco Carrillo-Perez, Octavio Caba, Cristina Jiménez-Luna, Francisco Ortuño, Daniel Castillo-Secilla, Luis Javier Herrera, Jose Prados, Ignacio Rojas
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Heliyon
Subjects:
Machine learning
Pancreatic ductal adenocarcinoma
Chronic pancreatitis
Peripheral blood mononuclear cells
Clinical decision support systems
Transcriptomics
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025015191
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http://www.sciencedirect.com/science/article/pii/S2405844025015191

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