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RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences Medical Science Data-driven Mathematics Team

Team Director: Eiryo Kawakami (M.D., Ph.D.)

Research Summary

Eiryo Kawakami

Our laboratory integrates artificial intelligence, systems biology, and data science to understand and predict complex human diseases. We analyze multimodal data—including molecular profiles, clinical records, imaging, and wearable sensors—to build interpretable models for precision medicine. Our research spans areas including cancer, metabolic disorders, orthopedics. By combining data-driven discovery with biomedical insight, we aim to uncover hidden mechanisms of health and disease. Collaborating across disciplines, we strive to create practical tools that support early diagnosis, patient stratification, and personalized intervention. Ultimately, we aim to develop digital twin technologies that seamlessly connect the physical and cyber realms of human health.

Main Research Fields

  • Informatics

Related Research Fields

  • Complex Systems
  • Mathematical & Physical Sciences
  • Biological Sciences
  • Biology
  • Medicine, Dentistry & Pharmacy
  • Biological, health, and medical informatics
  • Statistical science
  • Computational science

Keywords

  • Machine learning
  • Mathematical Science
  • Unsupervised learning
  • Systems biology
  • Causal inference

Selected Publications

  • 1. Kawakami E, Tabata J, Yanaihara N, Ishikawa T, Koseki K, Iida Y, Saito M, Komazaki H, Shapiro JS, Goto C, Akiyama Y, Saito R, Saito M, Takano H, Yamada K, Okamoto A.
    "Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers."
    Clinical cancer research, 25(10) 3006-3015 (2019)
  • 2. Kawakami E, Singh VK, Matsubara K, Ishii T, Matsuoka Y, Hase T, Kulkarni P, Siddiqui K, Kodilkar J, Danve N, Subramanian I, Katoh M, Shimizu-Yoshida Y, Ghosh S, Jere A, Kitano H.
    "Network analyses based on comprehensive molecular interaction maps reveal robust control structures in yeast stress response pathways."
    NPJ systems biology and applications, 2 15018-15018 (2016)
  • 3. Kawakami E, Nakaoka S, Ohta T, Kitano H.
    "Weighted enrichment method for prediction of transcription regulators from transcriptome and global chromatin immunoprecipitation data."
    Nucleic Acids Research, 44(11) 5010-5021 (2016)
  • 4. Tanabe H, Sato M, Miyake A, Shimajiri Y, Ojima T, Narita A, Saito H, Tanaka K, Masuzaki H, Kazama JJ, Katagiri H, Tamiya G, Kawakami E, Shimabukuro M.
    "Machine learning-based reproducible prediction of type 2 diabetes subtypes."
    Diabetologia, 67(11):2446-2458 (2024)
  • 5. Kawakami E, Adachi N, Senda T, Horikoshi M.
    "Leading role of TBP in the Establishment of Complexity in Eukaryotic Transcription Initiation Systems."
    Cell Reports, 21(13) 3941-3956 (2017)
  • 6. Koseki K, Kawasaki H, Atsugi T, Nakanishi M, Mizuno M, Naru E, Ebihara T, Amagai M, Kawakami E.
    "Assessment of skin barrier function using skin images with topological data analysis."
    NPJ systems biology and applications 6(1) 40-40 (2020)
  • 7. Kawakami E, Kobayashi N, Ichihara Y, Ishikawa T, Choe H, Tomoyama A, Inaba Y.
    "Monitoring of blood biochemical markers for periprosthetic joint infection using ensemble machine learning and UMAP embedding."
    Archives of orthopaedic and trauma surgery, 143(10):6057-6067 (2023)
  • 8. Komaki S, Sahoyama Y, Hachiya T, Koseki K, Ogata Y, Hamazato F, Shiozawa M, Nakagawa T, Suda W, Hattori M, Kawakami E.
    "Dimension reduction of microbiome data linked Bifidobacterium and Prevotella to allergic rhinitis."
    Scientific reports 14(1) 7983-7983 (2024)
  • 9. Morita A, Iida Y, Inaba Y, Tezuka T, Kobayashi N, Choe H, Ike H, Kawakami E.
    "Preoperative prediction for periprosthetic bone loss and individual evaluation of bisphosphonate effect after total hip arthroplasty using artificial intelligence."
    Bone & Joint Research, 13(4):184-192 (2024)
  • 10. Ikeda K, Nakada T, Kageyama T, Tanaka S, Yoshida N, Ishikawa T, Goshima Y, Otaki N, Iwami S, Shimamura S, Taniguchi T, Igari H, Hanaoka H, Yokote K, Tsuyuzaki K, Nakajima H, Kawakami E.
    "Detecting time-evolving phenotypic components of adverse reactions against BNT162b2 SARS-CoV-2 vaccine via non-negative tensor factorization."
    iScience 25(10) 105237-105237 (2022)

Related Links

Lab Members

Principal investigator

Eiryo Kawakami
Team Director

Core members

Satoru Sugimoto
Senior Research Scientist
Ruiming Li
Postdoctoral Researcher
Megumi Oya
Postdoctoral Researcher
Xuyang Zhao
Postdoctoral Researcher
Ayaka Hananoe
Technical Staff I
Tetsuo Ishikawa
Senior Visiting Scientist
Yuki Goshima
Visiting Scientist
Keita Koseki
Visiting Scientist
Shinji Nakaoka
Visiting Scientist
Tazro Ohta
Visiting Scientist
Miwa Sodeta
Assistant
Soki Osawa
Research Part-time Worker II

Contact Information

RIKEN Yokohama Campus
1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa
230-0045, Japan
Email: eiryo.kawakami@riken.jp

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