- Machine Learning to Predict Anti|Tumor Necrosis Factor Drug ...🔍
- Machine Learning to Predict Anti–Tumor Necrosis Factor Drug ...🔍
- Machine learning predicts response to TNF inhibitors in rheumatoid ...🔍
- Machine learning to predict anti|TNF drug responses of rheumatoid ...🔍
- Machine learning to predict early TNF inhibitor users in patients with ...🔍
- Early prediction of clinical response to anti|TNF treatment using ...🔍
- Machine Learning Model Can Predict Anti|TNF Drug Response in RA🔍
- Predicting Probability of Response to Tumor Necrosis Factor ...🔍
Machine Learning to Predict Anti–Tumor Necrosis Factor Drug ...
Machine Learning to Predict Anti-Tumor Necrosis Factor Drug ...
This study was undertaken to investigate the usefulness of machine learning to assist in developing predictive models for treatment response.
Machine Learning to Predict Anti–Tumor Necrosis Factor Drug ...
Machine Learning to Predict Anti–Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic ...
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-TNF drug responses of rheumatoid ...
Machine learning to predict anti-TNF drug responses of rheumatoid arthritis patients by integrating clinical and genetic markers. Yuanfang Guan, Ph.D.1 ...
Machine Learning to Predict Anti–Tumor Necrosis Factor Drug ...
Machine Learning to Predict Anti–Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers · Citation.
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 ...
Abstract - Annals of the Rheumatic Diseases
Objectives: This study aimed to predict treatment response to anti-tumor necrosis factor (anti-TNF) and JAKi therapies in patients with RA via machine learning ...
Early prediction of clinical response to anti-TNF treatment using ...
We investigated the utility of machine learning methods to predict anti-TNF response using clinical data, flow cytometry measurements, protein measurements and ...
Machine Learning Model Can Predict Anti-TNF Drug Response in RA
The model improves anti-TNF drug selection and the effect of genetic markers across multiple cohorts.
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 ...
Machine Learning to Predict Anti–Tumor Necrosis Factor Drug ...
Overview of the treatment response prediction model.
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 ...
Development of a Machine Learning Model to Predict Non-Durable ...
In conclusion, machine learning models with transcriptomes imputed from genome-wide genotype datasets effectively predicted NDR to anti-TNF ...
Machine learning-based prediction model for responses of ...
Recently, the use of machine learning to predict anti-tumor necrosis factor (TNFi) drug responses in RA patients has been published [16] ...
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 ...
Machine Learning Predicts Response to TNF Inhibitors in ...
Machine learning to predict anti- tumor necrosis factor drug responses of rheumatoid arthritis patients by integrating clinical and genetic ...
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 ...
Machine Learning to Predict Anti–Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers · Abstract.
Prediction of anti-TNF therapy failure in ulcerative colitis patients by ...
Ensemble machine learning methods are more reliable than single models. Abstract. Nowadays, anti-TNF therapy remarkably improves the medical management of ...
Machine learning model for identifying important clinical features for ...
We developed a model to predict remissions in patients treated with biologic disease-modifying anti-rheumatic drugs (bDMARDs) and to identify important ...