- Machine learning predicts response to TNF inhibitors in rheumatoid ...🔍
- Can machine learning predict responses to TNF inhibitors?🔍
- Machine Learning to Predict Anti|Tumor Necrosis Factor Drug ...🔍
- Early prediction of clinical response to anti|TNF treatment using ...🔍
- Rheumatoid Arthritis and Predicting Treatment Response🔍
- Machine Learning Predicts TNF Inhibitor Response in RA🔍
- Machine Learning to Predict Anti–Tumor Necrosis Factor Drug ...🔍
- pos0542 machine learning predicts response to tnf inhibitors in ...🔍
Machine learning predicts response to TNF inhibitors in rheumatoid ...
Machine learning predicts response to TNF inhibitors in rheumatoid ...
We aimed to predict patient response to TNFi using machine learning on simple clinical and biological data.
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 ...
Can machine learning predict responses to TNF inhibitors? - Nature
A machine learning model to predict whether patients with rheumatoid arthritis will respond to TNF inhibitors has been produced following an ...
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 ...
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 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 ...
Machine learning predicts response to TNF inhibitors in rheumatoid ...
The machine learning models developed allowed predicting patient response to TNFi exclusively using data available in clinical routine and yielded a ...
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 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 to Predict Anti–Tumor Necrosis Factor Drug ...
However, patient heterogeneity hinders identification of predictive biomarkers and accurate modeling of anti-TNF drug responses. This study was ...
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 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 ...
(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).
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Predicting Probability of Response to Tumor Necrosis Factor ...
This cohort study develops and validates models of the probability of short-term response to tumor necrosis factor inhibitor treatment in ...