Rchr
J-GLOBAL ID:201801012174912331
Update date: Jun. 04, 2025
Kawakami Eiryo
Kawakami Eiryo
Affiliation and department:
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
- 2023 - 2026 Elucidation of immunogenetic features of childhood-onset SLE by referencing adult peripheral blood single-cell data using AI
- 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
- 2022 - 2025 Search for indicators of blood levels of directly inhibitory oral anticoagulants in coagulation tests using artificial intelligence
- 2021 - 2025 Establishing an innovative system for elderly residential care homes through AI analysis of real-life data
- 2020 - 2025 個別化医療に向けたデータ駆動型医学国際研究拠点
- 2021 - 2024 Development of an integrated model for estimating emerging infectious diseases and a method for allocating medical resources by integrating mathematical science and healthcare administration
- 2021 - 2024 Transporter-targeted drug development against urological cancers by utilizing liquid biopsy and AI
- 2020 - 2023 Establishment of aminoacid transporter directed prostate cancer therapy based on the liquid biopsy
- 2020 - 2023 Application of Artificial Intelligence for Precision Medicine in Ovarian Cancer
- 2020 - 2023 A predictive model of unprofessional behavior in medical students using machine learning
- 2021 - 2023 新型コロナウイルス感染症(COVID-19)に対する疫学調査等の推進に関する研究
- 2020 - 2023 ウイルス-人体相互作用ネットワークの理解と制御
- 2020 - 2023 Preclinical層別化に基づく新たなデータ駆動感染症制御戦略の創出
- 2019 - 2022 人工知能を用いた人工股関節全置換術における最適なインプラント設置に関する研究
- 2021 - 2022 新型コロナウイルス感染症(COVID-19)に対する不活化ワクチンの開発
- 2019 - 2022 関節リウマチ関連線維芽細胞サブセットを標的とした新規治療戦略の開発
- 2017 - 2021 老化研究推進・支援拠点
- 2015 - 2020 遺伝統計学とビッグデータの邂逅がもたらす新たながんゲノム創薬
- 2019 - 2020 スーパーエンハンサー関連遺伝子群の時間・空間的動態解析によるアレルギー性気道炎症誘導における細胞間相互作用の解明
- 2017 - 2019 Integrated system analysis method of epidermal barrier function
- 2016 - 2019 Elucidate latent rules in disruption of biological system
- 2015 - 2018 Experimental evolution of Saccharomyces cerevisiae
- 2015 - 2017 Comprehensive identification of microRNAs that control atopic dermatitis using a gene regulatory network
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Papers (142):
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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
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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
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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
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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
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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
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MISC (63):
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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
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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
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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
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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
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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
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Books (1):
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これだけでわかる!医療AI
中外医学社 2021 ISBN:9784498048928
Lectures and oral presentations (95):
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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)
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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)
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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)
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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)
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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
- 2016/07 - 2017/09 RIKEN Medical Sciences Innovation Hub Program Senior Researcher
- 2013/10 - 2016/06 RIKEN Laboratory for Disease Systems Modeling, Center for Integrative Medical Sciences Postdoctoral Researcher
- 2011/04 - 2013/09 JST ERATO KAWAOKA Infection-induced Host Responses Project Virology / Cell Biology Group Researcher
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