AIMC Topic: Antirheumatic Agents
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Natural language processing to identify and characterize spondyloarthritis in clinical practice.
RMD open
May 24, 2024
OBJECTIVE: This study aims to use a novel technology based on natural language processing (NLP) to extract clinical information from electronic health records (EHRs) to characterise the clinical profile of patients diagnosed with spondyloarthritis (S...
Development of a Machine Learning Model to Predict the Use of Surgery in Patients With Rheumatoid Arthritis.
Arthritis care & research
Mar 19, 2024
OBJECTIVE: One in five patients with rheumatoid arthritis (RA) rely on surgery to restore joint function. However, variable response to disease-modifying antirheumatic drugs (DMARDs) complicates surgical planning, and it is difficult to predict which...
Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs.
PLoS computational biology
Jun 2, 2023
Cycling of biologic or targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) in rheumatoid arthritis (RA) patients due to non-response is a problem preventing and delaying disease control. We aimed to assess and validate treatment res...
Association of TLR 9 gene polymorphisms with remission in patients with rheumatoid arthritis receiving TNF-α inhibitors and development of machine learning models.
Scientific reports
Oct 11, 2021
Toll-like receptor (TLR)-4 and TLR9 are known to play important roles in the immune system, and several studies have shown their association with the development of rheumatoid arthritis (RA) and regulation of tumor necrosis factor alpha (TNF-α). Howe...
Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction.
Frontiers in immunology
Jun 23, 2020
Recombinant DNA technology has, in the last decades, contributed to a vast expansion of the use of protein drugs as pharmaceutical agents. However, such biological drugs can lead to the formation of anti-drug antibodies (ADAs) that may result in adve...
Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.
Arthritis & rheumatology (Hoboken, N.J.)
Nov 4, 2019
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotr...
Certolizumab Pegol
Adalimumab
Tumor Necrosis Factor-alpha
Outcome Assessment, Health Care
Female
Antirheumatic Agents
Predictive Value of Tests
Reproducibility of Results
Normal Distribution
Male
Humans
Infliximab
Etanercept
Middle Aged
Machine Learning
Genetic Markers
Severity of Illness Index
Methotrexate
Arthritis, Rheumatoid
Polymorphism, Single Nucleotide
Treatment Outcome
Regression Analysis
Phase 1b Study of the Safety, Pharmacokinetics, and Disease-related Outcomes of the Matrix Metalloproteinase-9 Inhibitor Andecaliximab in Patients With Rheumatoid Arthritis.
Clinical therapeutics
Dec 26, 2017
PURPOSE: Andecaliximab (GS-5745) is a highly selective monoclonal antibody against matrix metalloproteinase-9 (MMP9), a proteolytic enzyme implicated in the pathogenesis of rheumatoid arthritis (RA). This study assessed the safety and pharmacokinetic...
Stability of infliximab solutions in different temperature and dilution conditions.
Journal of pharmaceutical and biomedical analysis
Dec 18, 2017
Infliximab is a monoclonal antibody widely used for the treatment of inflammatory diseases. Over the past few years, many studies have assessed that monoclonal antibodies are prone to aggregation under stress conditions. The aim of this study was to ...
Osmolar Concentration
Pharmaceutical Solutions
Technology, Pharmaceutical
Antirheumatic Agents
Spectrophotometry, Ultraviolet
Temperature
Protein Aggregates
Biosimilar Pharmaceuticals
Chromatography, Gel
Time Factors
Protein Stability
Chromatography, Ion Exchange
Nanoparticles
Drug Stability
Nephelometry and Turbidimetry
Spectroscopy, Fourier Transform Infrared
Drug Compounding
Peptide Mapping
Infliximab
The Economic Burden of ACPA-Positive Status Among Patients with Rheumatoid Arthritis.
Journal of managed care & specialty pharmacy
Jul 17, 2017
BACKGROUND: Anticitrullinated protein antibodies (ACPAs) are serological biomarkers associated with early, rapidly progressing rheumatoid arthritis (RA), including more severe disease and joint damage. ACPA testing has become a routine tool for RA di...
The use of natural language processing on narrative medication schedules to compute average weekly dose.
Pharmacoepidemiology and drug safety
Sep 16, 2016
PURPOSE: Medications with non-standard dosing and unstandardized units of measurement make the estimation of prescribed dose difficult from pharmacy dispensing data. A natural language processing tool named the SIG extractor was developed to identify...
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