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Multiomics and Machine Learning Accurately Predict Clinical Response to Adalimumab and Etanercept Therapy in Patients With Rheumatoid Arthritis
OBJECTIVE: To predict response to anti–tumor necrosis factor (anti‐TNF) prior to treatment in patients with rheumatoid arthritis (RA), and to comprehensively understand the mechanism of how different RA patients respond differently to anti‐TNF treatment. METHODS: Gene expression and/or DNA methylati...
Tallennettuna:
| Julkaisussa: | Arthritis Rheumatol |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
John Wiley and Sons Inc.
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7898388/ https://ncbi.nlm.nih.gov/pubmed/32909363 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/art.41516 |
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