Ryuji Hamamoto
Ryuji Hamamoto (Ph.D.)
Title
Team Director

Members

  • Team director
    Ryuji Hamamoto
  • Deputy team director
    Masaaki Komatsu
  • Senior research scientist
    Ken Asada
  • Senior research scientist
    Satoshi Takahashi
  • Postdoctoral researcher
    Amina Bolatkan
  • Postdoctoral researcher
    Hiromi Matsumoto
  • Technical scientist
    Norio Shinkai
  • Technical staff I
    Hiroko Kondo
  • Technical staff I
    Shigemi Yamada
  • Visiting scientist
    Kazuma Kobayashi
  • Visiting scientist
    Syuzo Kaneko
  • Visiting scientist
    Masayoshi Yamada
  • Part-time worker I
    Yusuke Sakaguchi
  • Part-time worker I
    Tomonori Taniguchi

Introduction

Laboratory's photo

Our team is collaborating with medical institutions, primarily the National Cancer Center, to analyze large-scalemedical data using the latest AI technology. Our goal is to elucidate disease mechanisms and apply our findings to the development of new diagnostic methods and drug discovery. We are promoting research with a particular focuson the clinical application (social implementation) of our findings, and to date, we have obtained pharmaceutical approval and certification under the Pharmaceutical and Medical Devices Act for multiple research findings, which have been applied in clinical practice.

Main Research Field
Molecular Biology & Genetics
Research Field
Biology & Biochemistry / Immunology / Clinical Medicine / Computer Science
Research Subjects
Analysis of histone modification status in cancer tissues by machine learning　and deep learning
Analysis of medical imaging data by machine learning and deep learning
Multi-omics analysis of cancer by machine learning and deep learning
RIKEN Website URL
https://www.riken.jp/en/research/labs/aip/goalorient_tech/ai_med_eng/index.html

Introduction Video

Talks by Cancer Translational Research Team thumbnails
Show details
Poster(s)

Research Achievements

List of Achievements

Related posts

posted on July 1, 2025 18:11Information
【Event Report】The 7th Annual Meeting of Japanese Associatin for Medical Artificial Intelligence (JMAI) (June 27-28, 2025, Kyoto)
posted on June 24, 2025 17:48Information
France–Japan Bilateral Seminar on Health Data (June 19–20, 2025, Tokyo)
posted on June 5, 2025 09:04InformationAward
FY2025 Japan Society of Ultrasonics in Medicine Award (May 31, 2025)
posted on February 25, 2025 14:39Information
Published: Establishment of a machine learning model for predicting splenic hilar lymph node metastasis(February 25, 2025)
posted on December 9, 2024 14:32InformationAward
Merit Award: 110th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2024, December 4, 2024)
posted on September 13, 2024 15:31InformationPressrelease
Multi-omics and clustering analyses reveal the mechanisms underlying unmet needs for patients with lung adenocarcinoma and identify potential therapeutic targets (September 13, 2024),
posted on September 6, 2024 20:19InformationPressrelease
Ultrasound Diagnostic Support AI Receives Regulatory Approval from the MHLW(July 29, 2024)
posted on July 2, 2024 15:01InterviewPressrelease
Publish: Mechanism of ERBB2 gene overexpression by the formation of super-enhancer with genomic structural abnormalities in lung adenocarcinoma without clinically actionable genetic alterations　(Molecular Cancer, July 2, 2024)
posted on June 24, 2024 14:54Information
【Event Report】The 6th Annual Meeting of Japanese Associatin for Medical Artificial Intelligence (JMAI) (June 21-22, 2024, Nagoya)
posted on June 14, 2024 17:50Information
[In the Media] "AI Detection of Fetal Heart Disease to Assist Physician Diagnosis: Proof-of-Concept Trial Begins"(Yomiuri Shinbun, the evening edition on June 7, 2024)
posted on May 27, 2024 14:19Information
[In the Media] "Latest Research to Achieve a Future of Mutual Support Between Humans and AI"(”Science ZERO”, NHK E-Tele, May 26, 2024)
posted on March 5, 2024 10:57InformationPressrelease
Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability(March 5, 2024)
posted on October 4, 2023 17:20InformationPressrelease
Integrative analysis reveals early epigenetic alterations in high-grade serous ovarian carcinomas
posted on September 29, 2023 16:37Information
【Event Report】RIKEN AIP and NCU Joint Workshop on Mathematical Foundations of Machine Learning (Poland, Sep. 26, 2023)
posted on July 21, 2023 09:36Information
7 papers have been accepted at ICCV 2023
posted on July 11, 2023 22:24Information
[Accepted Paper]Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing (MICCAI 2023, Early Acceptance)
posted on June 23, 2023 19:16Information
【Event Report】The 5th Annual Meeting of Japanese Associatin for Medical Artificial Intelligence (JMAI) (June 17-18, 2023, Tokyo)
posted on June 19, 2023 15:24Information
Students from Nanyang Technological University Visit RIKEN AIP (June 16, 2023)
posted on May 15, 2023 21:09
The 5th Annual Meeting of Japanese Associatin for Medical Artificial Intelligence (JMAI)
posted on January 27, 2023 10:01Information
7 papers have been accepted at AISTATS 2023
posted on July 26, 2022 13:27Information
The 4th Annual Meeting of Japanese Associatin for Medical Artificial Intelligence (JMAI)
posted on June 6, 2022 15:08Information
Stroke prevention by early detection of AF in Shimizu
posted on May 13, 2022 12:28
The 4th Annual Meeting of Japanese Associatin for Medical Artificial Intelligence (JMAI)
posted on March 22, 2022 17:56InformationPressrelease
Medical professional enhancement using explainable artificial intelligence in fetal cardiac ultrasound screening
posted on February 7, 2022 15:34InformationPressrelease
The metabolic stress-activated checkpoint LKB1-MARK3 axis acts as a tumor suppressor in high-grade serous ovarian carcinoma
posted on August 18, 2021 21:10InformationAward
Reception of JMAI AWARD(The 3rd Annual Meeting of Japanese Associatin for Medical Artificial Intelligence)
posted on January 12, 2021 13:35Information
Medical Device Approval for Endoscopic AI Diagnosis Support Software Developed by the Cancer Translational Research Team
posted on November 30, 2020 09:54Information
MACHINO Hidenori (Cancer Translational Research Team) appointed as a Japanese delegate at GYSS2021
posted on November 30, 2020 09:22Information
HAMAMOTO Ryuji Team Leader talked at RIKEN Science Lecture
posted on November 13, 2020 15:24Seminar
[8th AIP Open Seminar] Talks by Cancer Translational Research Team
posted on February 4, 2020 10:17InformationAward
The 2nd Annual Meeting of the Japanese Association for Medical Artificial Intelligence (JMAI) was held
posted on October 31, 2019 15:43Award
Visiting Scientist Reina Komatsu received the Short Oral Presentation Award at the ISUOG World Congress 2019
posted on October 1, 2019 08:48Information
Research Scientist Masaaki Komatsu gave an invited talk at KAST-NAMOK Joint International Symposium, Korea
posted on February 13, 2019 12:36Award
Research Scientist Ken Asada and others received JMAI award
posted on September 18, 2018 14:00Pressrelease
AI used to detect fetal heart problems