Rchr
J-GLOBAL ID:201801012174912331   Update date: Feb. 26, 2024

Kawakami Eiryo

Kawakami Eiryo
Affiliation and department:
Research field  (3): Virology ,  Immunology ,  Biological, health, and medical informatics
Research theme for competitive and other funds  (26):
  • 2022 - 2027 骨癒合促進特化型ユニバーサルiPS血小板製剤の開発
  • 2023 - 2026 Elucidation of immunogenetic features of childhood-onset SLE by referencing adult peripheral blood single-cell data using AI
  • 2023 - 2026 人工知能による人工股関節置換術後インプラント周囲骨吸収の個別予測アルゴリズム構築
  • 2023 - 2026 人工知能を用いた人工股関節全置換術後の深部静脈血栓塞栓症の発生予測に関する研究
  • 2023 - 2026 Deep learning of postmortem CT database for death investigation
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Papers (115):
  • Akiko Hanai, Tetsuo Ishikawa, Shoko Sugao, Makoto Fujii, Kei Hirai, Hiroko Watanabe, Masayo Matsuzaki, Goji Nakamoto, Toshihiro Takeda, Yasuji Kitabatake, et al. Explainable Machine Learning Classification to Identify Vulnerable Groups Among Parenting Mothers: Web-Based Cross-Sectional Questionnaire Study. JMIR formative research. 2024. 8. e47372
  • Ryoichi Ishibashi, Yosuke Inaba, Masaya Koshizaka, Yoko Takatsuna, Tomoaki Tatsumi, Yuki Shiko, Yusuke Kashiwagi, Yoshiro Maezawa, Yohei Kawasaki, Eiryo Kawakami, et al. Sodium-glucose co-transporter 2 inhibitor therapy reduces the administration frequency of anti-vascular endothelial growth factor agents in patients with diabetic macular oedema with a history of anti-vascular endothelial growth factor agent use: A cohort study using the Japanese health insurance claims database. Diabetes, Obesity and Metabolism. 2024
  • Shinsuke Sakai, Youichi Tanaka, Yusuke Tsukamoto, Shihoko Kimura-Ohba, Atsushi Hesaka, Kenji Hamase, Chin-Ling Hsieh, Eiryo Kawakami, Hiraku Ono, Kotaro Yokote, et al. d-Alanine Affects the Circadian Clock to Regulate Glucose Metabolism in Kidney. Kidney360. 2023
  • Tazro Ohta, Ayaka Hananoe, Ayano Fukushima-Nomura, Koichi Ashizaki, Aiko Sekita, Jun Seita, Eiryo Kawakami, Kazuhiro Sakurada, Masayuki Amagai, Haruhiko Koseki, et al. Best practices for multimodal clinical data management and integration: An atopic dermatitis research case. Allergology international : official journal of the Japanese Society of Allergology. 2023
  • Ikuo Shimizu, Hajime Kasai, Kiyoshi Shikino, Nobuyuki Araki, Zaiya Takahashi, Misaki Onodera, Yasuhiko Kimura, Tomoko Tsukamoto, Kazuyo Yamauchi, Mayumi Asahina, et al. Developing Medical Education Curriculum Reform Strategies to Address the Impact of Generative AI: Qualitative Study. JMIR medical education. 2023. 9. e53466
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MISC (23):
  • 川上 英良. 【産婦人科における先端情報処理技術の展開】人工知能(AI)による医療変革の現在地とこれから. HORMONE FRONTIER IN GYNECOLOGY. 2023. 30. 2. 95-98
  • 川上 英良. 糖尿病診療のデジタルヘルスの展開 機械学習による慢性疾患の層別化と予測. 糖尿病. 2023. 66. Suppl.1. S-59
  • 小野里 優希, 坂入 祐一, 山中 崇寛, 由佐 城太郎, 太枝 帆高, 西井 開, 伊藤 祐輝, 松本 寛樹, 海寳 大輔, 畑 敦, et al. 間質性肺炎合併肺癌術後の生存に関するクラスター解析. 千葉医学雑誌. 2023. 99. 1. 36-36
  • 川上 英良, 石井 健. ワクチン開発研究のカンブリア紀 近未来の課題と展望(第2回) ワクチン研究におけるAI・データサイエンス利活用の課題と展望. 炎症と免疫. 2023. 31. 2. 148-151
  • 千田克幸, 千田克幸, 石川哲朗, 石川哲朗, 石川哲朗, 華井明子, 華井明子, 花之枝彩香, 柏木佑介, 佐藤潤弥, et al. Elucidation of synergistic risk factors for nephrotic syndrome based on time-series statistical evaluation of comorbidities. 日本薬学会年会要旨集(Web). 2023. 143rd
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Books (1):
  • これだけでわかる!医療AI
    中外医学社 2021 ISBN:9784498048928
Lectures and oral presentations  (95):
  • 唾液オミクスと機械学習で疾患発症を予測する
    (日本遺伝学会第95回大会 2023)
  • AI・データサイエンスが拓く糖尿病診療の未来
    (第28回日本小児・思春期糖尿病学会年次学術集会 2023)
  • 機械学習生存時間解析を用いた疾患の早期検知と予後予測
    (第5回日本メディカルAI学会学術集会 2023)
  • 疾患発症・重症化の未然予測と制御のための数理・AI解析
    (ムーンショット目標2×7技術交流会 2023)
  • 予防・個別医療に向けた時系列マルチモーダルデータに基づく状態遷移予測モデル構築
    (第5回メディカル・エマージングテクノロジーフォーラム 2023)
more...
Education (3):
  • 2007 - 2011 The University of Tokyo Graduate School of Medicine Department of Pathology, Immunology and Microbiology
  • 2003 - 2007 The University of Tokyo Faculty of Medicine School of Medicine
  • 2001 - 2003 The University of Tokyo College of Arts and Sciences Natural Sciences III
Professional career (1):
  • Ph.D. (The University of Tokyo)
Work history (7):
  • 2021/04 - 現在 RIKEN RIKEN Information R&D and Strategy Headquarters, Advanced Data Science Project (ADSP), Medical Data Mathematical Reasoning Team Team Leader
  • 2019/01 - 現在 Chiba University Artificial Intelligence Medicine, Graduate School of Medicine Professor
  • 2019/06 - 2021/03 RIKEN Medical Sciences Innovation Hub Program Team Leader
  • 2017/10 - 2021/03 RIKEN Medical Sciences Innovation Hub Program Unit Leader
  • 2016/07 - 2017/09 RIKEN Medical Sciences Innovation Hub Program Senior Researcher
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