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Session » RA – Treatments III: Predictors of Treatment Response (2003–2007)

Date: Monday, November 9, 2020

Time: 4:00PM-4:50PM

Meeting: ACR Convergence 2020

Abstract Number: 2003
Individualized Prediction of Response to Methotrexate Treatment in Patients with Rheumatoid Arthritis: A Pharmacogenomics-driven Machine Learning Approach
Abstract Number: 2004
Circulating Biomolecules as Potential Biomarkers of Early and Establishedresponse to TNFi Therapy in Rheumatoid Arthritis Patients
Abstract Number: 2005
Histo-pathological Cellular Markers of Treatment Response to Rituximab and Tocilizumab in Matched Pre- and Post-treatment Synovial Biopsies from the R4RA Randomised Clinical Trial in Rheumatoid Arthritis
Abstract Number: 2006
Identification of a Rule to Predict Response to Sarilumab in Patients with Rheumatoid Arthritis Using Machine Learning and Clinical Trial Data
Abstract Number: 2007
Whole Blood Transcriptional Changes Following Selective Inhibition of Janus Kinase 1 (JAK1) by Filgotinib in Adults with Moderately-to-Severely Active Rheumatoid Arthritis with Prior Inadequate Response to Methotrexate

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ACR Pediatric Rheumatology Symposium 2020

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