Identification of a Rule to Predict Response to Sarilumab in Patients with Rheumatoid Arthritis Using Machine Learning and Clinical Trial Data

INTRODUCTION: In rheumatoid arthritis, time spent using ineffective medications may lead to irreversible disease progression. Despite availability of targeted treatments, only a minority of patients achieve sustained remission, and little evidence exists to direct the choice of biologic disease-modi...

Descripción completa

Detalles Bibliográficos
Autores principales: Rehberg, Markus, Giegerich, Clemens, Praestgaard, Amy, van Hoogstraten, Hubert, Iglesias-Rodriguez, Melitza, Curtis, Jeffrey R., Gottenberg, Jacques-Eric, Schwarting, Andreas, Castañeda, Santos, Rubbert-Roth, Andrea, Choy, Ernest H. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572308/
https://www.ncbi.nlm.nih.gov/pubmed/34519964
http://dx.doi.org/10.1007/s40744-021-00361-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572308/
https://www.ncbi.nlm.nih.gov/pubmed/34519964
http://dx.doi.org/10.1007/s40744-021-00361-5

Ejemplares similares