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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Detalhes bibliográficos

Principais autores:	Francisco Carrillo-Perez, Octavio Caba, Cristina Jiménez-Luna, Francisco Ortuño, Daniel Castillo-Secilla, Luis Javier Herrera, Jose Prados, Ignacio Rojas
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-07-01
coleção:	Heliyon
Assuntos:	Machine learning Pancreatic ductal adenocarcinoma Chronic pancreatitis Peripheral blood mononuclear cells Clinical decision support systems Transcriptomics
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2405844025015191
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