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Integrating genetic, epigenetic, and clinical signatures via machine learning for robust prediction of leflunomide response in rheumatoid arthritis: a multi-center validation study.

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Title: Integrating genetic, epigenetic, and clinical signatures via machine learning for robust prediction of leflunomide response in rheumatoid arthritis: a multi-center validation study.
Authors: Chen M; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Liu H; Department of Rheumatology, The First Hospital of China Medical University, Shenyang, China., Jin L; Department of Rheumatology, ShengJing Hospital of China Medical University, Shenyang, China., Feng X; Department of Rheumatology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China., Dai B; Department of Rheumatology and Immunology, Central Hospital of Dalian University of Technology, Dalian, China., Wang F; Department of Rheumatology, The First Hospital of China Medical University, Shenyang, China., Wang Q; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Chen Y; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Yi M; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Jia B; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Dong K; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Zhang J; Department of Rheumatology and Immunology, Central Hospital of Dalian University of Technology, Dalian, China., Fan Z; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Li J; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Zhao F; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Jia Y; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Wang J; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Liu M; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Xu J; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China., Fu L; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.
Source: Frontiers in immunology [Front Immunol] 2026 Jun 24; Vol. 17, pp. 1804485. Date of Electronic Publication: 2026 Jun 24 (Print Publication: 2026).
Publication Type: Journal Article; Multicenter Study; Validation Study
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Integrating genetic, epigenetic, and clinical signatures via machine learning for robust prediction of leflunomide response in rheumatoid arthritis: a multi-center validation study.
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  Data: <searchLink fieldCode="AU" term="%22Chen+M%22">Chen M</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Liu+H%22">Liu H</searchLink>; Department of Rheumatology, The First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Jin+L%22">Jin L</searchLink>; Department of Rheumatology, ShengJing Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Feng+X%22">Feng X</searchLink>; Department of Rheumatology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.<br /><searchLink fieldCode="AU" term="%22Dai+B%22">Dai B</searchLink>; Department of Rheumatology and Immunology, Central Hospital of Dalian University of Technology, Dalian, China.<br /><searchLink fieldCode="AU" term="%22Wang+F%22">Wang F</searchLink>; Department of Rheumatology, The First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Wang+Q%22">Wang Q</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Yi+M%22">Yi M</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Jia+B%22">Jia B</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Dong+K%22">Dong K</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Zhang+J%22">Zhang J</searchLink>; Department of Rheumatology and Immunology, Central Hospital of Dalian University of Technology, Dalian, China.<br /><searchLink fieldCode="AU" term="%22Fan+Z%22">Fan Z</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Zhao+F%22">Zhao F</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Jia+Y%22">Jia Y</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Liu+M%22">Liu M</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Fu+L%22">Fu L</searchLink>; Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, China.
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  Data: <searchLink fieldCode="JN" term="%22101560960%22">Frontiers in immunology</searchLink> [Front Immunol] 2026 Jun 24; Vol. 17, pp. 1804485. <i>Date of Electronic Publication: </i>2026 Jun 24 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101560960 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1664-3224 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216643224%22">16643224 </searchLink><i>NLM ISO Abbreviation: </i>Front Immunol <i>Subsets: </i>MEDLINE
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