Rchr
J-GLOBAL ID：201801012174912331   Update date: Jun. 04, 2025

Kawakami Eiryo

Kawakami Eiryo
Affiliation and department：
RIKEN Medical Data Mathematical Reasoning Team, Advanced Data Science Project (ADSP), RIKEN Information R&D and Strategy Headquarters (R-IH)

About RIKEN Medical Data Mathematical Reasoning Team, Advanced Data Science Project (ADSP), RIKEN Information R&D and Strategy Headquarters (R-IH)


Job title： Team Leader
Other affiliations (1)：
  • Chiba University  Professor
Research field  (5)： Computational science ,  Statistical science ,  Virology ,  Immunology ,  Biological, health, and medical informatics
Research theme for competitive and other funds  (31)：
  • 2024 - 2027 A Comprehensive Amino Acid Transporter-Based Therapeutic Strategy for Lethal Prostate Cancer
  • 2024 - 2027 Disease screening system based on AI image analysis of newborn X-ray images
  • 2024 - 2027 Cell-free RNAを用いた全身の細胞の状態を反映した多臓器障害サブフェノタイピング
  • 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
  • 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
Show all
Papers (142)：
  • Ayano Fukushima-Nomura, Hiroshi Kawasaki, Kiyoshi Yashiro, Shoko Obata, Keiji Tanese, Tamotsu Ebihara, Hidehisa Saeki, Takafumi Etoh, Takehiro Hasegawa, Junshi Yazaki, et al. An unbiased tissue transcriptome analysis identifies potential markers for skin phenotypes and therapeutic responses in atopic dermatitis. Nature communications. 2025. 16. 1. 4981-4981
  • Ai Tamura, Kazuyuki Yamagata, Takashi Kono, Masanori Fujimoto, Takahiro Fuchigami, Motoi Nishimura, Masataka Yokoyama, Akitoshi Nakayama, Naoko Hashimoto, Ikki Sakuma, et al. p53-inducible lncRNA LOC644656 causes genotoxic stress-induced stem cell maldifferentiation and cancer chemoresistance. Nature communications. 2025. 16. 1. 4818-4818
  • Katsuyuki Chida, Tetsuo Ishikawa, Akiko Hanai, Ayaka Hananoe, Yusuke Kashiwagi, Hiroto Hatakeyama, Shinsuke Sakai, Masayuki Mizui, Isao Matsui, Hajime Nagasu, et al. Rigorous multiple statistical test unveils combinations of preceding diseases at risk for the development of adult nephrotic syndrome. Computers in biology and medicine. 2025. 192. Pt B. 110360-110360
  • Kiwako Yamamoto-Hanada, Eiryo Kawakami, Miori Sato, Makoto Irahara, Kenji Toyokuni, Erika Hiraide-Kotaki, Naomi Harima-Mizusawa, Norihiro Kubota, Hideaki Morita, Kenji Matsumoto, et al. Interaction Between Lifestyle, Immunity and Gut Microbiota in Milk Allergy Children. Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology. 2025
  • Daigo Kato, Akiko Okuno, Tetsuo Ishikawa, Shoji Itakura, Shinji Oguchi, Yoshiyuki Kasahara, Kenji Kanenishi, Yuzo Kitadai, Yoshitaka Kimura, Naoki Shimojo, et al. Multilevel Factors and Indicators of Atypical Neurodevelopment During Early Infancy in Japan: Prospective, Longitudinal, Observational Study. JMIR pediatrics and parenting. 2025. 8. e58337
ｍore...
MISC (63)：
  • 川上英良, 川上英良, 川上英良, 川上英良, 川上英良. 慢性疾患研究におけるAI・機械学習の活用. 日本逆流性腎症フォーラム記録集. 2025. 31st
  • 八谷剛史, 小巻翔平, 佐保山友加里, 川上英良, 川上英良, 川上英良. Leveraging dimensionality reduction methods for gut microbiota research. 月刊臨床免疫・アレルギー科. 2025. 83. 1
  • 川上英良, 川上英良. 病に挑むデータサイエンス 糖尿病の層別化と進行過程モデリング. 科学. 2025. 95. 4
  • 植田 由依, 吉原 正仁, 飯島 雄太, 遠藤 真美子, 大曽根 義輝, 濱田 洋通, 川上 英良, 照井 慶太. 新生児全身X線画像のAI画像解析による疾患スクリーニングシステムの構築. 日本周産期・新生児医学会雑誌. 2024. 60. Suppl.1. P281-P281
  • 島袋 充生, 川辺 隼人, 田中 健一, 益崎 裕章, 風間 順一郎, 片桐 秀樹, 川上 英良, 田宮 元. アジア型糖尿病は存在するか?遺伝的および疫学的特徴から 日本人糖尿病のクラスター分類の試み. 糖尿病. 2024. 67. Suppl.1. S-45
ｍore...
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 (8)：
  • 2025/02 - 現在 Chiba University Professor
  • 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
Show all
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page

TOP

BOTTOM