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...

Description complète

Détails bibliographiques

Auteurs principaux:	Francisco Carrillo-Perez, Octavio Caba, Cristina Jiménez-Luna, Francisco Ortuño, Daniel Castillo-Secilla, Luis Javier Herrera, Jose Prados, Ignacio Rojas
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2025-07-01
Collection:	Heliyon
Sujets:	Machine learning Pancreatic ductal adenocarcinoma Chronic pancreatitis Peripheral blood mononuclear cells Clinical decision support systems Transcriptomics
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2405844025015191
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!