Basic Information

Academic Degree

• 博士（医学）(京都大学)

ID,URL

• J-Global ID

  201801013580657675

researchmap URL

• https://researchmap.jp/euchino

Research

Research Areas

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

Papers

• A Nationwide Japanese Medical Claims Foundation Model: Balancing Model Scaling and Task-Specific Computational Efficiency.

  Nanae Aratake; Taisei Tosaki; Yuji Okamoto; Eiichiro Uchino; Masaki Nakamura; Nobutomo Matsui; Akiko Hatakama; Yasushi Okuno

  CoRR, Apr. 2026

  
• Evaluation of an Independent Masked Prediction Strategy for Labels and Values in Tabular Transformers

  ARATAKE Nanae; TOSAKI Taisei; OKAMOTO Yuji; UCHINO Eiichiro; KOJIMA Ryosuke; OKUNO Yasushi

  Proceedings of the Annual Conference of JSAI, 2025

  
• Exploring Decoder-Based Tabular Transformer Models with Piecewise Linear Embeddings

  TOSAKI Taisei; ARATAKE Nanae; OKAMOTO Yuji; UCHINO Eiichiro; KOJIMA Ryosuke; OKUNO Yasushi

  Proceedings of the Annual Conference of JSAI, 2025

  
• 心不全患者における退院後のトルバプタン使用は2年目までの再入院に対する予測因子である 説明可能な人工知能に基づく研究(Post-discharge Use of Tolvaptan in Patients with Heart Failure as a Predictor of 2-year Rehospitalization: Explainable Artificial-Intelligence Based Study)

  糀谷 泰彦; 山本 絵里香; 内野 詠一郎; 田中 宗和; 瀬尾 拓哉; 仲山 加奈子; 高野橋 健太; 尾野 亘; 奥野 恭史

  日本循環器学会学術集会抄録集, Mar. 2024

  
• 教師なし深層学習を用いたIgA腎症患者の病理所見の評価

  佐藤 憲明; 内野 詠一郎; 小島 諒介; 櫻木 実; 平木 秀輔; 南口 早智子; 羽賀 博典; 横井 秀基; 柳田 素子; 奥野 恭史

  日本腎臓学会誌, Jun. 2021

  
• Artificial Intelligence in Kidney Pathology

  Sato Noriaki; Uchino Eiichiro; Okuno Yasushi

  Artificial Intelligence in Medicine, 2021

  
• 教師なし深層学習を用いたIgA腎症患者の病理所見の評価

  佐藤 憲明; 内野 詠一郎; 小島 諒介; 櫻木 実; 平木 秀輔; 南口 早智子; 羽賀 博典; 横井 秀基; 柳田 素子; 奥野 恭史

  日本腎臓学会誌, Jun. 2021

  
• Artificial Intelligence in Predicting Kidney Function and Acute Kidney Injury

  Eiichiro Uchino; Noriaki Sato; Yasushi Okuno

  Artificial Intelligence in Medicine, 2021

  
• Health improvement framework for planning actionable treatment process using surrogate Bayesian model.

  Kazuki Nakamura; Ryosuke Kojima; Eiichiro Uchino; Koichi Murashita; Ken Itoh; Shigeyuki Nakaji; Yasushi Okuno

  CoRR, 2020

  
• A deep state-space analysis framework for cancer patient latent state estimation and classification from EHR time-series data

  Yuji Okamoto; Aya Nakamura; Ryosuke Kojima; Eiichiro Uchino; Yohei Mineharu; Yohei Harada; Mayumi Kamada; Minoru Sakuragi; Manabu Muto; Motoko Yanagita; Yasushi Okuno

  PLOS One, 30 Jan. 2026

  
• Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku

  Taisei Tosaki; Eiichiro Uchino; Yohei Harada; Minoru Sakuragi; Yusuke Koyanagi; Seiji Okajima; Hirofumi Suzuki; Kentaro Kanamori; Masahiro Asaoka; Kouji Kurihara; Takuya Takagi; Koji Maruhashi; Yoshinori Tamada; Tatsuya Mikami; Koichi Murashita; Shigeyuki Nakaji; Yasushi Okuno

  2024 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, BIBM, 2024

  
• 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

  Access this paper :

  
• 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

  Access this paper :

  
• 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

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• 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

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• 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

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• 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

  Access this paper :

  
• 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

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• 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

  Access this paper :

  
• 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

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• 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

  Access this paper :

  
• 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

  Access this paper :

  
• 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

  Access this paper :

  
• 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

  

Misc.

• 電子カルテ診療録に対する機械学習を用いた重要キーワード抽出機能の開発と今後の診療支援機能への展望

  早川龍雄; 玉田嘉紀; 内野詠一郎; 岩本和樹; 井上和仁; 奥野恭史

  医療情報学連合大会プログラム・抄録集, 2018

  
• ステロイド投与中のネフローゼ症候群患者に対する抗菌薬使用の検討

  佐藤憲明; 平木秀輔; 内野詠一郎; 横井秀基; 奥野恭史; 黒田知宏; 柳田素子

  日本腎臓学会誌, Sep. 2017

  
• 個人に寄り添う健診補助AIアプリの開発:未病への戦略的対応

  峰晴陽平; 峰晴陽平; 内野詠一郎; 渡邉拡人; 平井啓; 吉田安里; 糀谷泰彦; 糀谷泰彦; 松本麻見; 松本麻見; 小清水宏; 三善仁; 玉田嘉紀; 玉田嘉紀; 奥野恭史; 奥野恭史

  日本メディカルAI学会学術集会プログラム・抄録集, 2025

  
• 機械学習を用いた集中治療部における急性腎障害の発症予測

  佐藤憲明; 内野詠一郎; 奥野恭史; 井元清哉; 柳田素子

  日本腎臓学会誌(Web), 2025

  
• 電子カルテデータを用いた機械学習によるAKI発症予測モデルの構築と検証

  内野詠一郎; 内野詠一郎; 佐藤憲明; 佐藤憲明; 櫻木実; 櫻木実; 玉田嘉紀; 山田博之; 山田博之; 柳田素子; 奥野恭史

  日本集中治療医学会学術集会(Web), 2021

  
• 【AI、ICT】臨床データを用いた医療ビッグデータの解析と創薬への応用

  内野 詠一郎; 佐藤 憲明; 小島 諒介; 玉田 嘉紀; 柳田 素子; 奥野 恭史

  日本腎臓学会誌, Mar. 2020

  
• AIと医療 データ主導型個別化医療と予測医療

  奥野 恭史; 小清水 宏; 鎌田 真由美; 玉田 嘉紀; 小島 諒介; 内野 詠一郎

  あいみっく, Feb. 2020

  
• 男性ホルモンによる腎成熟制御機構の多層的オミックス解析

  佐藤 有紀; 北井 悠一郎; 内野 詠一郎; 小口 綾貴子; 永森 收志; 金井 好克; 曽我 朋義; 村川 泰裕; 柳田 素子

  日本腎臓学会誌, May 2019

  
• 【人工知能(AI)がもたらす創薬イノベーション】 予防・先制医療における疾患発症予測モデルと細菌叢

  内野 詠一郎; 佐藤 憲明; 奥野 恭史

  医薬ジャーナル, Sep. 2018

  
• ビッグデータ時代のゲノム創薬—特集 ビッグデータ時代の精神医学

  内野 詠一郎; 荒木 通啓; 奥野 恭史

  分子精神医学 = Japanese journal of molecular psychiatry / 「分子精神医学」編集委員会 編, Jul. 2018

  
• 腎泌尿器領域における個別化医療・精密医療 スーパーコンピュータが可能にする医療と創薬

  内野詠一郎; 中津井雅彦; 奥野恭史

  月刊腎臓内科・泌尿器科, 2018

  
• 機械学習アルゴリズムによる効率的なリアルワールドデータ解析を実現する手法の提案

  早川龍雄; 三木瑞穂; 中津井雅彦; 内野詠一郎; 種石慶; 奥野恭史

  医療情報学連合大会プログラム・抄録集, 2017

  
• がん領域におけるPrecision Medicineはどこまで進んだか?―臨床腫瘍医に求められる新たなスキル―Precision Medicine実現に必要なシミュレーション科学とデータ科学(data centric science)

  佐藤憲明; 内野詠一郎; 鎌田真由美; 奥野恭史

  月刊腫瘍内科, 2017

  
• 膿皮症に合併したANCA陰性Pauci-immune型半月体形成性腎炎の1例

  上松瀬 良; 遠藤 修一郎; 山田 博之; 内野 詠一郎; 清水 葉子; 塩田 文彦; 近藤 尚哉; 浅尾 りん; 石井 輝; 戸田 尚宏; 西岡 敬祐; 坂井 薫; 今牧 博貴; 横井 秀基; 松原 雄; 塚本 達雄; 柳田 素子

  日本腎臓学会誌, Aug. 2015

  
• 医療機関の規模別にみた降圧薬の処方実態の検討

  平木秀輔; 佐藤憲明; 内野詠一郎; 黒田知宏; 柳田素子

  日本腎臓学会誌, 2019

  
• INTERPRETATION OF VARIABLE ANCA TITER AMONG DIFFERENT ASSAYS: A CASE REPORT

  Noriaki Sato; Kaoru Sakai; Hirotaka Imamaki; Eiichiro Uchino; Syuichiro Endo; Hideki Yokoi; Takeshi Matsubara; Tatsuo Tsukamoto; Sachiko Minamiguchi; Toshiko Ito-Ihara; Motoko Yanagita

  RHEUMATOLOGY, Mar. 2017

  
• 「AIによるAKI発症予測」

  櫻木実; 内野詠一郎; 佐藤憲明; 奧野恭史; 柳田素子

  腎臓内科, Oct. 2021

  
• 人工知能(AI)と腎臓 AIによる腎生検組織画像の診断支援システム開発

  内野詠一郎; 内野詠一郎; 佐藤憲明; 佐藤憲明; 奥野恭史; 柳田素子

  腎臓, 2018

  
• 【AI、ICT】臨床データを用いた医療ビッグデータの解析と創薬への応用

  内野 詠一郎; 佐藤 憲明; 小島 諒介; 玉田 嘉紀; 柳田 素子; 奥野 恭史

  日本腎臓学会誌, Mar. 2020

  
• AI for Nephrology Using Electronic Medical Records

  Eiichiro Uchino; Yoshinori Tamada; Yasushi Okuno

  Proceedings for Annual Meeting of The Japanese Pharmacological Society, 2020

  

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

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K21115/
• 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. 2026, Granted

  急性腎障害;機械学習;発症予測;発症予測モデル;AI;腎臓内科学;人工知能

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K16217/
• 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

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K11211/

Education

Teaching subject(s)

• From 01 Apr. 2026, To 31 Mar. 2027

  Health Science II

  U105, Fall, Institute for Liberal Arts and Sciences, 2
• From 01 Apr. 2026, To 31 Mar. 2027

  Health Science II

  U105, Spring, Institute for Liberal Arts and Sciences, 2
• From 01 Apr. 2026, To 31 Mar. 2027

  Big data science in medicine

  3236, Fall, Faculty of Medicine, 1
• From 01 Apr. 2026, To 31 Mar. 2027

  Special lecture for big data science in medicine

  M357, Spring, Graduate School of Medicine, 2
• From 01 Apr. 2026, To 31 Mar. 2027

  Chronic Care Nursing III

  M313, Spring, Graduate School of Medicine, 2
• 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