Multiomics and Machine Learning Accurately Predict Clinical Response to Adalimumab and Etanercept Therapy in Patients With Rheumatoid Arthritis

OBJECTIVE: To predict response to anti–tumor necrosis factor (anti‐TNF) prior to treatment in patients with rheumatoid arthritis (RA), and to comprehensively understand the mechanism of how different RA patients respond differently to anti‐TNF treatment. METHODS: Gene expression and/or DNA methylati...

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Detalles Bibliográficos
Autores principales: Tao, Weiyang, Concepcion, Arno N., Vianen, Marieke, Marijnissen, Anne C. A., Lafeber, Floris P. G. J., Radstake, Timothy R. D. J., Pandit, Aridaman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Rheumatoid Arthritis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898388/
https://www.ncbi.nlm.nih.gov/pubmed/32909363
http://dx.doi.org/10.1002/art.41516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898388/
https://www.ncbi.nlm.nih.gov/pubmed/32909363
http://dx.doi.org/10.1002/art.41516

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