Predicting anti-TNF treatment response in rheumatoid arthritis: An artificial intelligence-driven model using cytokine profile and routine clinical practice parameters

Predicting anti-TNF treatment response in rheumatoid arthritis: An artificial intelligence-driven model using cytokine profile and routine clinical practice parameters

Introduction: Rheumatoid arthritis (RA) is a heterogeneous disease in which therapeutic strategies used have evolved dramatically. Despite significant progress in treatment strategies such as the development of anti-TNF drugs, it is still not possible to differentiate those patients who will respond...

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Bibliographic Details
Main Authors: Juan Luis Valdivieso Shephard, Enrique Josue Alvarez Robles, Carmen Cámara Hijón, Borja Hernandez Breijo, Marta Novella-Navarro, Patricia Bogas Schay, Ricardo Cuesta de la Cámara, Alejandro Balsa Criado, Eduardo López Granados, Chamaida Plasencia Rodríguez
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Rheumatoid arthritis
Cytokines
Artificial intelligence
Anti-TNF response prediction
Interleukin 2
Interleukin 6
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023101332

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http://www.sciencedirect.com/science/article/pii/S2405844023101332

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