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Uchino, Eiichirou

Graduate School of Medicine, Department of Human Health Sciences Program-Specific Associate Professor

Uchino, Eiichirou
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    Last Updated :2025/12/01

    Basic Information

    Academic Degree

    • 博士(医学)(京都大学)

    ID,URL

    researchmap URL

    list
      Last Updated :2025/12/01

      Research

      Research Areas

      • Life sciences, Nephrology
      • Informatics, Biological, health, and medical informatics

      Papers

      • Myofibroblasts acquire retinoic acid–producing ability during fibroblast-to-myofibroblast transition following kidney injury
        Jin Nakamura; Yuki Sato; Yuichiro Kitai; Shuichi Wajima; Shinya Yamamoto; Akiko Oguchi; Ryo Yamada; Keiichi Kaneko; Makiko Kondo; Eiichiro Uchino; Junichi Tsuchida; Keita Hirano; Kumar Sharma; Kenji Kohno; Motoko Yanagita
        Kidney International, Mar. 2019
      • Peritonitis due to Mycobacterium abscessus in peritoneal dialysis patients: case presentation and mini-review
        Erina Ono; Eiichiro Uchino; Keita P. Mori; Hideki Yokoi; Naohiro Toda; Kenichi Koga; Masato Kasahara; Takeshi Matsubara; Motoko Yanagita
        Renal Replacement Therapy, 10 Dec. 2018
      • Membranous nephropathy associated with pregnancy: an anti-phospholipase A2 receptor antibody-positive case report
        Eiichiro Uchino; Daisuke Takada; Haruta Mogami; Takeshi Matsubara; Tatsuo Tsukamoto; Motoko Yanagita
        CEN Case Reports, 18 Jan. 2018, Lead author, Corresponding author
      • Relationships Between Quantitative Pulse-Echo Ultrasound Parameters from the Superficial Zone of the Human Articular Cartilage and Changes in Surface Roughness, Collagen Content or Collagen Orientation Caused by Early Degeneration
        Wataru Kiyan; Akira Ito; Yasuaki Nakagawa; Shogo Mukai; Koji Mori; Tatsuo Arai; Eiichiro Uchino; Yasushi Okuno; Hiroshi Kuroki
        Ultrasound in Medicine & Biology, Aug. 2017
      • Renal-limited vasculitis with elevated levels of multiple antibodies
        Noriaki Sato; Hideki Yokoi; Hirotaka Imamaki; Eiichiro Uchino; Kaoru Sakai; Takeshi Matsubara; Tatsuo Tsukamoto; Sachiko Minamiguchi; Motoko Yanagita
        CEN Case Reports, 03 Mar. 2017
      • Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation
        Isao Matsui; Ayumi Matsumoto; Atsuhiro Imai; Hiroki Okushima; Hirohiko Niioka; Masatoshi Abe; Natsune Tamai; Hajime Nagasu; Eiichiro Kanda; Eiichiro Uchino; Tadashi Sofue; Toshiyuki Imasawa; Yuichiro Yano; Hiroshi Kinashi; Ken-ichi Miyoshi; Tamaki Harada; Yasuyuki Nagasawa; Keiji Fujimoto; Yuka Kurokawa; Sawako Kato; Ryohei Kaseda; Masahiro Koizumi; Yasuo Kusunoki; Masaki Ohya; Yoshimasa Kawazoe; Hiroyuki Abe; Yuta Matsukuma; Takaaki Kosugi; Yoshiyasu Ueda; Naohiko Fujii; Masanobu Takeji; Akira Suzuki; Katsuyuki Nagatoya; Kazumasa Oka; Yutaka Ando; Masaaki Izumi; Toshiyuki Komiya; Tatsuo Tsukamoto; Imari Mimura; Takahiro Kuragano; Toshiaki Nakano; Kazuhiko Tsuruya; Yasuhiko Ito; Tetsuo Minamino; Osamu Yamaguchi; Suguru Yamamoto; Hirotaka Komaba; Kengo Furuichi; Kei Fukami; Shin-ichi Araki; Takao Masaki; Naotake Tsuboi; Hitoshi Yokoyama; Akira Shimizu; Tetsuo Ushiku; Shoichi Maruyama; Motoko Yanagita; Masaomi Nangaku; Ryohei Yamamoto; Kazunori Inoue; Yoshitaka Isaka
        npj Digital Medicine, 23 Nov. 2025
      • Predicting mortality dynamics in cancer patients: A machine learning approach to pre-death events
        Tatsuki Yamamoto; Minoru Sakuragi; Yuzuha Tuji; Yuji Okamoto; Eiichiro Uchino; Motoko Yanagita; Manabu Muto; Mayumi Kamada; Yasushi Okuno
        PLOS One, 09 Sep. 2025
      • Network analysis reveals causal relationships among individual background risk factors leading to influenza susceptibility
        Akihide Terada; Kenji Fujimoto; Kazuyoshi Kise; Kenta Fujiwara; Eiichiro Uchino; Yutaka Mizuma; Yoshinori Nishioku; Kenzo Takahashi; Ken Itoh; Tatsuya Mikami; Koichi Murashita; Shigeyuki Nakaji; Yukihiro Fujita; Yasushi Okuno; Yoshinori Tamada
        Scientific Reports, 21 Aug. 2025
      • Out-of-distribution reject option method for dataset shift problem in early disease onset prediction
        Taisei Tosaki; Eiichiro Uchino; Ryosuke Kojima; Yohei Mineharu; Yuji Okamoto; Mikio Arita; Nobuyuki Miyai; Yoshinori Tamada; Tatsuya Mikami; Koichi Murashita; Shigeyuki Nakaji; Yasushi Okuno
        Scientific Reports, 02 Jun. 2025
      • Female sex hormones inversely regulate acute kidney disease susceptibility throughout life
        Yuichiro Kitai; Naoya Toriu; Takahisa Yoshikawa; Yoshiki Sahara; Sonoko Kinjo; Yoko Shimizu; Yuki Sato; Akiko Oguchi; Ryo Yamada; Makiko Kondo; Eiichiro Uchino; Keisuke Taniguchi; Hiroyuki Arai; Takayoshi Sasako; Hironori Haga; Shingo Fukuma; Naoto Kubota; Takashi Kadowaki; Minoru Takasato; Yasuhiro Murakawa; Motoko Yanagita
        Kidney International, Jan. 2025
      • Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy
        Minoru Sakuragi; Eiichiro Uchino; Noriaki Sato; Takeshi Matsubara; Akihiko Ueda; Yohei Mineharu; Ryosuke Kojima; Motoko Yanagita; Yasushi Okuno
        PLOS ONE, 19 Mar. 2024
      • Proteinuria frequency and subsequent renal dysfunction in bevacizumab-treated patients: a single center, retrospective, observational study
        Shigeki Kataoka; Yoshitaka Nishikawa; Taro Funakoshi; Takahiro Horimatsu; Minoru Sakuragi; Eiichiro Uchino; Shusuke Hiragi; Shinya Yamamoto; Kaoru Sakai; Takeshi Matsubara; Motoko Yanagita; Manabu Muto
        International Journal of Clinical Oncology, 14 Feb. 2024
      • Individual health-disease phase diagrams for disease prevention based on machine learning
        Kazuki Nakamura; Eiichiro Uchino; Noriaki Sato; Ayano Araki; Kei Terayama; Ryosuke Kojima; Koichi Murashita; Ken Itoh; Tatsuya Mikami; Yoshinori Tamada; Yasushi Okuno
        Journal of Biomedical Informatics, Aug. 2023
      • Use of proton pump inhibitors and macrolide antibiotics and risk of acute kidney injury: a self-controlled case series study
        Keiko Ikuta; Shunsaku Nakagawa; Chinami Yamawaki; Kotaro Itohara; Daiki Hira; Satoshi Imai; Atsushi Yonezawa; Takayuki Nakagawa; Minoru Sakuragi; Noriaki Sato; Eiichiro Uchino; Motoko Yanagita; Tomohiro Terada
        BMC Nephrology, 30 Nov. 2022
      • Robust prognostic prediction model developed with integrated biological markers for acute myocardial infarction
        Masahiro Nishi; Eiichiro Uchino; Yasushi Okuno; Satoaki Matoba
        PLOS ONE, 03 Nov. 2022
      • Lineage tracing analysis defines erythropoietin-producing cells as a distinct subpopulation of resident fibroblasts with unique behaviors
        Keiichi Kaneko; Yuki Sato; Eiichiro Uchino; Naoya Toriu; Mayo Shigeta; Hiroshi Kiyonari; Shuichiro Endo; Shingo Fukuma; Motoko Yanagita
        Kidney International, Aug. 2022
      • Evaluation of Kidney Histological Images Using Unsupervised Deep Learning
        Noriaki Sato; Eiichiro Uchino; Ryosuke Kojima; Minoru Sakuragi; Shusuke Hiragi; Sachiko Minamiguchi; Hironori Haga; Hideki Yokoi; Motoko Yanagita; Yasushi Okuno
        Kidney International Reports, Sep. 2021
      • Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data
        Noriaki Sato; Eiichiro Uchino; Ryosuke Kojima; Shusuke Hiragi; Motoko Yanagita; Yasushi Okuno
        Computer Methods and Programs in Biomedicine, Jul. 2021
      • Health improvement framework for actionable treatment planning using a surrogate Bayesian model
        Kazuki Nakamura; Ryosuke Kojima; Eiichiro Uchino; Koh Ono; Motoko Yanagita; Koichi Murashita; Ken Itoh; Shigeyuki Nakaji; Yasushi Okuno
        Nature Communications, 25 May 2021
      • Spatiotemporal ATP Dynamics during AKI Predict Renal Prognosis
        Shinya Yamamoto; Masamichi Yamamoto; Jin Nakamura; Akiko Mii; Shigenori Yamamoto; Masahiro Takahashi; Keiichi Kaneko; Eiichiro Uchino; Yuki Sato; Shingo Fukuma; Hiromi Imamura; Michiyuki Matsuda; Motoko Yanagita
        Journal of the American Society of Nephrology, 12 Oct. 2020
      • Association between the size of healthcare facilities and the intensity of hypertension therapy: a cross-sectional comparison of prescription data from insurance claims data
        Shusuke Hiragi; Noriaki Sato; Eiichiro Uchino; Tomohiro Kuroda; Motoko Yanagita
        Hypertension Research, 15 Sep. 2020
      • Metagenomic profiling of gut microbiome in early chronic kidney disease
        Noriaki Sato; Masanori Kakuta; Takanori Hasegawa; Rui Yamaguchi; Eiichiro Uchino; Koichi Murashita; Shigeyuki Nakaji; Seiya Imoto; Motoko Yanagita; Yasushi Okuno
        Nephrology Dialysis Transplantation, 01 Sep. 2020
      • Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach
        Eiichiro Uchino; Kanata Suzuki; Noriaki Sato; Ryosuke Kojima; Yoshinori Tamada; Shusuke Hiragi; Hideki Yokoi; Nobuhiro Yugami; Sachiko Minamiguchi; Hironori Haga; Motoko Yanagita; Yasushi Okuno
        International Journal of Medical Informatics, Sep. 2020, Lead author
      • Metagenomic analysis of bacterial species in tongue microbiome of current and never smokers
        Noriaki Sato; Masanori Kakuta; Takanori Hasegawa; Rui Yamaguchi; Eiichiro Uchino; Wataru Kobayashi; Kaori Sawada; Yoshihiro Tamura; Itoyo Tokuda; Koichi Murashita; Shigeyuki Nakaji; Seiya Imoto; Motoko Yanagita; Yasushi Okuno
        npj Biofilms and Microbiomes, 13 Mar. 2020, Peer-reviewed
      • The relationship between cigarette smoking and the tongue microbiome in an East Asian population
        Noriaki Sato; Masanori Kakuta; Eiichiro Uchino; Takanori Hasegawa; Ryosuke Kojima; Wataru Kobayashi; Kaori Sawada; Yoshihiro Tamura; Itoyo Tokuda; Seiya Imoto; Shigeyuki Nakaji; Koichi Murashita; Motoko Yanagita; Yasushi Okuno
        Journal of Oral Microbiology, 01 Jan. 2020
      • MGeND: an integrated database for Japanese clinical and genomic information
        Mayumi Kamada; Masahiko Nakatsui; Ryosuke Kojima; Sachio Nohara; Eiichiro Uchino; Shigeki Tanishima; Masaya Sugiyama; Kenjiro Kosaki; Katsushi Tokunaga; Masashi Mizokami; Yasushi Okuno
        Human Genome Variation, 06 Dec. 2019

      External funds: Kakenhi

      • Development of automated classification of glomeruli with clinical information
        Grant-in-Aid for Research Activity Start-up
        0403:Biomedical engineering and related fields
        Kyoto University
        Eiichiro Uchino
        From 24 Aug. 2018, To 31 Mar. 2020, Project Closed
        腎病理;人工知能;機械学習;医療情報;病理画像;腎生検
      • 機械学習による急性腎障害リスクアラートツールの臨床的有用性検討
        Grant-in-Aid for Early-Career Scientists
        Basic Section 53040:Nephrology-related
        Kyoto University
        内野 詠一郎
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        急性腎障害;発症予測モデル;AI;腎臓内科学;機械学習;人工知能
      • Social implementation trial of ALD/NAFLD predictive model to improve health literacy and promote behavior change
        Grant-in-Aid for Scientific Research (C)
        Basic Section 58080:Gerontological nursing and community health nursing-related
        Meio University
        本村 純
        From 01 Apr. 2022, To 31 Mar. 2027, Granted
        疫学調査;横断調査;非侵襲的スクリーニング;脂肪肝;特定健診項目;ALD;NAFLD;縦断調査;スクリーニング;機械学習;予兆モデル;アルコール性肝疾患;非アルコール性脂肪性肝疾患;ヘルスリテラシー;行動変容
      list
        Last Updated :2025/12/01

        Education

        Teaching subject(s)

        • From 01 Apr. 2025, To 31 Mar. 2026
          Health Science II
          U105, Spring, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2025, To 31 Mar. 2026
          Health Science II
          U105, Fall, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2025, To 31 Mar. 2026
          Big data science in medicine
          3236, Fall, Faculty of Medicine, 1
        • From 01 Apr. 2025, To 31 Mar. 2026
          Special lecture for big data science in medicine
          M357, Spring, Graduate School of Medicine, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Big data science in medicine
          3236, Fall, Faculty of Medicine, 1
        • From 01 Apr. 2024, To 31 Mar. 2025
          Special lecture for big data science in medicine
          M357, Spring, Graduate School of Medicine, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Big data science in medicine
          3236, Fall, Faculty of Medicine, 1
        • From 01 Apr. 2023, To 31 Mar. 2024
          Special lecture for big data science in medicine
          M357, Spring, Graduate School of Medicine, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Big data science in medicine
          3236, Fall, Faculty of Medicine, 1
        • From 01 Apr. 2022, To 31 Mar. 2023
          Health Science II
          U105, Spring, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Special lecture for big data science in medicine
          M357, Spring, Graduate School of Medicine, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Health Science II
          U105, Fall, Institute for Liberal Arts and Sciences, 2
        • From Apr. 2021, To Mar. 2022
          Health Science II
          Spring, 全学共通科目

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