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

Members

  • Team leader
    Ryuji Hamamoto
  • Deputy team leader
    Masaaki Komatsu
  • Research scientist
    Ken Asada
  • Research scientist
    Satoshi Takahashi
  • Research scientist
    Hidenori Machino
  • Postdoctoral researcher
    Ken Takasawa
  • Postdoctoral researcher
    Amina Bolatkan
  • Technical staff I
    Hiroko Kondo
  • Technical staff I
    Shigemi Yamada
  • Technical staff I
    Norio Shinkai
  • Visiting scientist
    Kazuma Kobayashi
  • Visiting scientist
    Syuzo Kaneko

Introduction

Laboratory's photo

We are conducting multimodal analysis of the omics data such as genome data, epigenome data, medical imaging data [CT, MRI, PET, endoscopy, pathology], proteome data, micro RNA data, cell line data, PDX [Patient-Derived Xenografts] data and clinical information in various types of cancers by machine learning and deep learning to clarify the nature of cancer. On the basis of our findings, we plan to develop novel diagnostic and therapeutic methods for cancer, and will also use them to develop novel anti-cancer drugs.

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
http://www.riken.jp/en/research/labs/aip/goalorient_tech/cancer_transl/

Introduction Video

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

Related posts

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