AIMC Topic: Etanercept

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Modelling of bioprocess non-linear fluorescence data for at-line prediction of etanercept based on artificial neural networks optimized by response surface methodology.

Talanta Dec 23, 2019
In the last years, regulatory agencies in biopharmaceutical industry have promoted the design and implementation of Process Analytical Technology (PAT), which aims to develop rapid and high-throughput strategies for real-time monitoring of bioprocess...
CHO Cells Cricetulus Animals Fluorescence Calibration Etanercept Models, Molecular Surface Properties Neural Networks, Computer Cells, Cultured
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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...
Etanercept Certolizumab Pegol Female Reproducibility of Results Male Antirheumatic Agents Middle Aged Normal Distribution Machine Learning Adalimumab Tumor Necrosis Factor-alpha Outcome Assessment, Health Care Humans Regression Analysis Predictive Value of Tests Genetic Markers Methotrexate Infliximab Polymorphism, Single Nucleotide Treatment Outcome Severity of Illness Index Arthritis, Rheumatoid
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Building the drug-GO function network to screen significant candidate drugs for myasthenia gravis.

PloS one Apr 4, 2019
Myasthenia gravis (MG) is an autoimmune disease. In recent years, considerable evidence has indicated that Gene Ontology (GO) functions, especially GO-biological processes, have important effects on the mechanisms and treatments of different diseases...
Carnosine Organometallic Compounds Etanercept Adalimumab Immunosuppressive Agents Glucosamine Drug Repositioning Databases, Pharmaceutical Genetic Association Studies Gene Ontology Thalidomide Pharmacogenomic Testing Databases, Genetic Myasthenia Gravis Zinc Compounds Humans Gene Regulatory Networks
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Deep molecular profiling of synovial biopsies in the STRAP trial identifies signatures predictive of treatment response to biologic therapies in rheumatoid arthritis.

Nature communications Jul 2, 2025
Approximately 40% of patients with rheumatoid arthritis do not respond to individual biologic therapies, while biomarkers predictive of treatment response are lacking. Here we analyse RNA-sequencing (RNA-Seq) of pre-treatment synovial tissue from the...
Treatment Outcome Antibodies, Monoclonal, Humanized Transcriptome Arthritis, Rheumatoid Antirheumatic Agents Aged Precision Medicine Rituximab Male Female Etanercept Synovial Membrane Middle Aged Biopsy Gene Expression Profiling Humans Machine Learning
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