- Machine learning predicts response to TNF inhibitors in rheumatoid ...🔍
- Machine Learning to Predict Anti|Tumor Necrosis Factor Drug ...🔍
- Machine Learning Approach Effectively Predicts Remission in RA ...🔍
- Predicting anti|TNF treatment response in rheumatoid arthritis🔍
- Early prediction of clinical response to anti|TNF treatment using ...🔍
- Machine Learning to Predict Anti–Tumor Necrosis Factor Drug ...🔍
- Machine learning to predict anti|TNF drug responses of rheumatoid ...🔍
- Rheumatoid Arthritis and Predicting Treatment Response🔍
Machine Learning Predicts TNF Inhibitor Response in RA
Machine learning predicts response to TNF inhibitors in rheumatoid ...
Objectives: Around 30% of patients with rheumatoid arthritis (RA) do not respond to tumour necrosis factor inhibitors (TNFi). We aimed to predict patient ...
Machine learning predicts response to TNF inhibitors in rheumatoid ...
Objectives Around 30% of patients with rheumatoid arthritis (RA) do not respond to tumour necrosis factor inhibitors (TNFi). We aimed to predict patient ...
Machine Learning to Predict Anti-Tumor Necrosis Factor Drug ...
Arthritis Rheumatol. 2019 Dec;71(12):1987-1996. doi: 10.1002/art.41056. Epub 2019 Nov 4 ...
Machine learning predicts response to TNF inhibitors in rheumatoid ...
Objectives Around 30% of patients with rheumatoid arthritis (RA) do not respond to tumour necrosis factor inhibitors (TNFi). We aimed to predict ...
Machine Learning Approach Effectively Predicts Remission in RA ...
Lasso demonstrated advantages in predicting clinical remission in patients with RA treated with TNF, with a specificity of 69.9% and ...
Predicting anti-TNF treatment response in rheumatoid arthritis
The aim of this study was to utilize a profile of the patient's characteristics, clinical parameters, immune status (cytokine profile) and artificial ...
Early prediction of clinical response to anti-TNF treatment using ...
The gene expression results were replicated in an independent cohort. Finally, machine learning models mainly based on transcriptomic data showed high ...
Machine Learning to Predict Anti–Tumor Necrosis Factor Drug ...
Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection.
Machine learning to predict anti-TNF drug responses of rheumatoid ...
Objective: Accurate prediction of the responses of rheumatoid arthritis patients can provide valuable information for effective drug selection. An important ...
Rheumatoid Arthritis and Predicting Treatment Response
The machine learning models based on these molecular signatures could accurately predict patients' responses to ADA and ETN even before ...
Machine Learning Model Can Predict Anti-TNF Drug Response in RA
In the cross-validation tests, the results indicated that the model predicted changes in disease activity scores with a correlation coefficient ...
Machine learning to predict early TNF inhibitor users in patients with ...
Machine learning models were formulated to predict the early-TNF users using the baseline data. Feature importance analysis was performed to ...
Machine Learning Predicts TNF Inhibitor Response in RA - HCPLive
Investigators developed machine learning models that were able to predict response to tumor necrosis inhibitors (TNFi) in patients with ...
Machine learning predicts response to TNF inhibitors in rheumatoid ...
Around 30% of patients with rheumatoid arthritis (RA) do not respond to tumour necrosis factor inhibitors (TNFi). We aimed to predict patient response to TNFi ...
(PDF) Machine learning predicts response to TNF inhibitors in ...
Objectives Around 30% of patients with rheumatoid arthritis (RA) do not respond to tumour necrosis factor inhibitors (TNFi).
Machine learning-based prediction model for responses of ...
Few studies on rheumatoid arthritis (RA) have generated machine learning models to predict biologic disease-modifying antirheumatic drugs ...
A Machine Learning Approach for Prediction of CDAI Remission ...
The study, using a cohort of patients with rheumatoid arthritis treated with tumor necrosis factor inhibitor, has developed a model predicting ...
Multiomics and Machine Learning Accurately Predict Clinical ...
To predict response to anti–tumor necrosis factor (anti‐TNF) prior to treatment in patients with rheumatoid arthritis (RA) and to comprehensively understand ...
pos0542 machine learning predicts response to tnf inhibitors in ...
Unfortunately, 30% to 40% of RA patients do not respond to TNFi, resulting in a delay for beginning the appropriate targeted DMARD (tDMARD).
Machine learning-based remission prediction in rheumatoid arthritis ...
Conclusion: The proposed machine learning model system effectively identifies clinical features predicting remission in bDMARDs, potentially improving treatment ...