Integrative proteomic and machine learning strategies identify key biomarkers associated with response to JAK inhibitor in rheumatoid arthritis

Arthritis Research & Therapy · Published 2026-08-03 · DOI 10.1186/s13075-026-03880-0

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Authors (9)

Shuo-Fu Chen, Ting-Shuan Wu, Kuang-Yi Chang, Sheng-Min Lo, Yi-Ting Chen, Chung-Mao Kao, Yen-Ju Chen, Hui-Yin Chang, Yi-Ming Chen

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Year

2026

Citation

Chen, S., Wu, T., Chang, K., et al. (2026). Integrative proteomic and machine learning strategies identify key biomarkers associated with response to JAK inhibitor in rheumatoid arthritis. Arthritis Research & Therapy. https://doi.org/10.1186/s13075-026-03880-0

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