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 …
patients with rheumatoid arthritis (RA), and to comprehensively understand the mechanism …
Clinical prediction models of rheumatoid arthritis and its complications: focus on cardiovascular disease and interstitial lung disease
Y Shao, H Zhang, Q Shi, Y Wang, Q Liang - Arthritis Research & Therapy, 2023 - Springer
Rheumatoid arthritis (RA) is a chronic, systemic, autoimmune disease of unknown etiology
with erosive, symmetric polyarthritis as the main clinical manifestations. Its basic …
with erosive, symmetric polyarthritis as the main clinical manifestations. Its basic …
Integrative clinical, molecular, and computational analysis identify novel biomarkers and differential profiles of anti-TNF response in rheumatoid arthritis
M Luque-Tévar, C Perez-Sanchez… - Frontiers in …, 2021 - frontiersin.org
Background: This prospective multicenter study developed an integrative clinical and
molecular longitudinal study in Rheumatoid Arthritis (RA) patients to explore changes in …
molecular longitudinal study in Rheumatoid Arthritis (RA) patients to explore changes in …
Effectiveness of etanercept in rheumatoid arthritis: real-world data from the German non-interventional study ADEQUATE with focus on treat-to-target and patient …
Background For rheumatoid arthritis (RA), the treat-to-target concept suggests attaining
remission or at least low disease activity (LDA) after 12 weeks. Objectives This German …
remission or at least low disease activity (LDA) after 12 weeks. Objectives This German …
A Machine Learning Approach for Prediction of CDAI Remission with TNF Inhibitors: A Concept of Precision Medicine from the FIRST Registry
Introduction This study aimed to develop low-cost models using machine learning
approaches predicting the achievement of Clinical Disease Activity Index (CDAI) remission 6 …
approaches predicting the achievement of Clinical Disease Activity Index (CDAI) remission 6 …
Integrative Clinical, Molecular, and Computational Analysis Identify Novel Biomarkers and Differential Profiles of Anti-TNF Response in Rheumatoid Arthritis
Methods: A total of 104 RA patients from two independent cohorts undergoing TNFi and 29
healthy donors (HD) were enrolled for the discovery and validation of prediction biomarkers …
healthy donors (HD) were enrolled for the discovery and validation of prediction biomarkers …
Identificación de la heterogeneidad molecular asociada a la enfermedad cardiovascular, la evolución clínica y la respuesta terapéutica en patologías Autoinmunes …
AM Patiño-Trives - 2022 - helvia.uco.es
Las enfermedades autoinmunes son enfermedades multifactoriales, resultado de la
interacción entre factores genéticos, factores ambientales y alteraciones del propio sistema …
interacción entre factores genéticos, factores ambientales y alteraciones del propio sistema …
[HTML][HTML] Identificación de la heterogeneidad molecular asociada a la enfermedad cardiovascular, la evolución clínica y la respuesta terapéutica en patologías …
AMP Trives - 2022 - dialnet.unirioja.es
introducción o motivación de la tesis Las enfermedades autoinmunes son enfermedades
multifactoriales, resultado de la interacción entre factores genéticos, factores ambientales y …
multifactoriales, resultado de la interacción entre factores genéticos, factores ambientales y …