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Keishi Fujio is a professor of Rheumatology, and his research focuses on elucidating the pathology of rheumatic diseases through functional genomic analysis. He has a broad background in rheumatology, with specific training and expertise in rheumatology and immunological research. As PI or co-Investigator on several grants funded by Japanese government, he laid the groundwork for the research by developing combination of clinical cohort and functional genome analysis over time as documented in the following publications. He constructed a large functional genome database named ImmuNexUT, which consists of transcriptome of bulk-sorted 28 immune cells from more than 500 patients with immune-mediated diseases. ImmuNexUT enabled us to identify immunological pathways associated with prognosis of disease.

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Ho-Youn Kim

Ho-Youn Kim

Catholic University of Korea, Republic of Korea

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Rheumazentrum Ruhrgebiet, Europe
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Kenneth Saag

University Of Alabama At Birmingham, United States

Rachelle Buchbinder

Monash University, Australia
Denis Poddubnyy

Denis Poddubnyy

University of Toronto, Canada

Anindita Santosa

Aaria Rheumatology, Singapore
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Until 11:59PM AEST Friday 24 April, 2026

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Don't miss your chance on being part of APLAR 2026 where live sessions feature the latest, best-in-class research and provide an opportunity to connect and stay apprised of the latest developments and innovations in the field.

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