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J-GLOBAL ID：202101015903155044   Update date: Apr. 01, 2025

Fujii Takayuki

フジイ タカユキ | Fujii Takayuki
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Affiliation and department：
Kyoto University Graduate School of Medicine, Department of Advanced Medicine for Rheumatic Diseases

About Kyoto University Graduate School of Medicine, Department of Advanced Medicine for Rheumatic Diseases


Job title： Assistant professor
Research field  (4)： Allergies and connective tissue disease ,  Immunology ,  Immunology ,  Orthopedics
Research keywords  (5)： Machine learning ,  Bioinformatics ,  innate immunity ,  Macrophage ,  Rheumatoid arthritis
Research theme for competitive and other funds  (2)：
  • 2022 - 2024 マルチオミックス解析と機械学習による関節リウマチ治療効果予測
  • 2021 - 2023 新規骨髄系マクロファージ様細胞の骨病変への関与
Papers (76)：
  • Kohei Nishitani, Yu Kobori, Hiroyuki Yoshitomi, Akinori Murakami, Koichi Murata, Takayuki Fujii, Yugo (侑吾) Morita, Takashi Sono, Shuichi Matsuda. Correspondence on ‘Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration’ by Fan et al. Annals of the Rheumatic Diseases. 2025
  • Tatsuhito Ikezaki, Koichi Murata, Takayuki Fujii, Akira Onishi, Kosaku Murakami, Masao Tanaka, Akio Morinobu, Shuichi Matsuda. Factors Associated With Hallux Valgus Progression in Patients With Rheumatoid Arthritis: Insights From Non-Weight-Bearing Radiographs in the KURAMA Cohort. International Journal of Rheumatic Diseases. 2025
  • Takayuki Fujii. Comparative effectiveness of subcutaneous sarilumab 200 mg biweekly, subcutaneous Tocilizumab 162 mg biweekly, and intravenous Tocilizumab 8 mg/kg every 4 weeks in patients with rheumatoid arthritis: a prospective cohort study. Arthritis Research & Therapy. 2025
  • Takayuki Fujii. Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort. Arthritis Research & Therapy. 2025
  • Ryohei Saito, Takayuki Fujii, Koichi Murata, Akira Onishi, Kosaku Murakami, Masao Tanaka, Koichiro Ohmura, Tadashi Yasuda, Akio Morinobu, Shuichi Matsuda. Prediction models incorporating second metacarpal cortical index for osteoporosis in rheumatoid arthritis: Externally validated machine learning models developed using data from the KURAMA cohort. International Journal of Rheumatic Diseases. 2024
ｍore...
MISC (22)：
  • Yoichi Nakayama, Daijiro Kabata, Wataru Yamamoto, Hidehiko Makino, Koji Nagai, Naofumi Yoshida, Yonsu Son, Masaki Katayama, Hirotaka Yamada, Keisuke Nishimura, et al. Disease Duration Differentially Affects the Clinical Efficacy of Biologics and JAK Inhibitors in Rheumatoid Arthritis: The ANSWER Cohort Study. ARTHRITIS & RHEUMATOLOGY. 2024. 76. 1057-1059
  • 惠谷 悠紀, 蛯名 耕介, 野口 貴明, 沖田 康孝, 辻本 考平, 白杉 郁, 山下 真依, 永井 孝治, 吉川 紋佳, 橋本 求, et al. 免疫内科と整形外科によるRA患者のBio/JAK阻害剤治療の相違についての検討 関西多施設ANSWER cohortによる解析. 日本リウマチ学会総会・学術集会プログラム・抄録集. 2024. 68回. 859-859
  • 林 申也, 前田 俊恒, 山下 真依, 白杉 郁, 山本 譲, 山田 啓貴, 岡野 隆一, 西村 啓佑, 上田 洋, 神野 定男, et al. JAK阻害薬-2 JAK阻害薬4剤の有効性比較と有効性に影響を与える因子の探索 関西多施設ANSWERコホートによる解析. 日本リウマチ学会総会・学術集会プログラム・抄録集. 2023. 67回. 551-551
  • 村上 孝作, 田中 真生, 大西 輝, 鬼澤 秀夫, 村田 浩一, 藤井 貴之, 山本 渉, 武内 徹, 平松 ゆり, 沖田 康孝, et al. 疫学1:RA/関節型JIAの治療 関節リウマチにおける免疫チェックポイント阻害薬(ICI)投与前後のRA治療内容の変化 関西多施設ANSWERコホートを用いた検討. 日本リウマチ学会総会・学術集会プログラム・抄録集. 2023. 67回. 526-526
  • 田淵 裕也, 別役 翼, 白柏 魅怜, 辻 英輝, 鬼澤 秀夫, 日和 良介, 北郡 宏次, 秋月 修治, 村上 孝作, 中嶋 蘭, et al. 脊椎関節炎-2 成人発症低ホスファターゼ症(HPP)と乾癬性関節炎の合併と考えられた1例. 日本リウマチ学会総会・学術集会プログラム・抄録集. 2023. 67回. 598-598
ｍore...
Education (2)：
  • 2013 - 2017 京都大学大学院医学研究科
  • 1999 - 2005 京都大学医学部
Professional career (2)：
  • MD (Kyoto University)
  • PhD (Kyoto University)
Work history (2)：
  • 2021/04 - 現在 Kyoto University
  • 2017/04 - 2020/08 Hospital for Special Surgery Arthritis and Tissue Degeneration Program and David Z. Rosensweig Genomics Research Center Postdoctoral fellow
Awards (3)：
  • 2023/04 - 日本リウマチ学会 International Current Workshop優秀演題賞
  • 2022/04 - 日本リウマチ学会 International Current Workshop優秀演題賞
  • 2020/02 - Orthopedic Research Society Young Investigator Award
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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