Takayuki Fujii

Assistant professor

Kyoto University

Japan

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About

Takayuki Fujii is an Assistant Professor at Kyoto University in Japan. His research primarily focuses on rheumatoid arthritis, encompassing the roles of T cell subsets, the effects of treatments such as methotrexate and glucocorticoids, and predictive models for disease progression. Recent works include investigations into immune responses, cartilage degeneration, and comparative effectiveness of biologic therapies.

Articles (19)

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2025

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2023

Collaborators (7)

Koichi Murata

Kyoto University

JAPAN

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Shiro Tanaka

特定教授 / Program-Specific Professor

Kyoto University

JAPAN

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Hiromu Ito

Associate Professor

Kyoto University

JAPAN

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Yasutaka Okita

Osaka University

JAPAN

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Keiichi Yamamoto

Professor

Osaka Dental University

JAPAN

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Kosaku Murakami

Tenure-Track Associate Professor

Kyoto University

JAPAN

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Yuki Etani

Osaka University

JAPAN

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Takayuki Fujii

Research Interests

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About

Articles (19)

Stem-like and effector peripheral helper T cells comprise distinct subsets in rheumatoid arthritis

Human CD4+ T cells regulate peripheral immune responses in rheumatoid arthritis via insulin-like growth factor like family member 2

Differential Impact of Concomitant Methotrexate and Glucocorticoids Dosages on Biologics and JAK Inhibitors: The ANSWER Cohort Study

Case Series: Spinal Malalignment and Total Hip Arthroplasty Dislocation in Rheumatoid Arthritis

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

Factors Associated With Hallux Valgus Progression in Patients With Rheumatoid Arthritis: Insights From Non‐Weight‐Bearing Radiographs in the KURAMA Cohort

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

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

Energy landscape analysis and time-series clustering analysis of patient state multistability related to rheumatoid arthritis drug treatment: The KURAMA cohort study

The influence of medial cuneiform inclination on postoperative hallux valgus recurrence in rheumatoid arthritis patients: Insights from the KURAMA cohort study

Low Hounsfield unit values on computed tomography as a potential predictor of vertebral fracture in patients with rheumatoid arthritis: The KURAMA cohort study

Active Rheumatoid Arthritis and Scoliosis: A Mid-Term Cohort Study

Comparison of safety and effectiveness between etanercept biosimilar LBEC0101 and reference in patients with rheumatoid arthritis in real-world data using the KURAMA cohort

Effect of high disease activity on spinal sagittal malalignment in patients with rheumatoid arthritis

Management and treatment outcomes of rheumatoid arthritis in the era of biologic and targeted synthetic therapies: evaluation of 10-year data from the KURAMA cohort

Predictive value of baseline concomitant glucocorticoid for abatacept-mediated long-term inhibition of radiographic progression: insights from the KURAMA cohort

Safety of Janus kinase inhibitors compared to biological DMARDs in patients with rheumatoid arthritis and renal impairment: the ANSWER cohort study

Prediction models incorporating second metacarpal cortical index for osteoporosis in rheumatoid arthritis: Externally validated machine learning models developed using data from the KURAMA cohort

Baseline erythrocyte sedimentation rate level predicts long-term inhibition of radiographic progression by tocilizumab: the KURAMA cohort

Collaborators (7)

Koichi Murata

Shiro Tanaka

Hiromu Ito

Yasutaka Okita

Keiichi Yamamoto

Kosaku Murakami

Yuki Etani

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