Ryuji Hamamoto (Ph.D.)
Title
Team Leader
Members
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Team leaderRyuji Hamamoto
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Deputy team leaderMasaaki Komatsu
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Senior research scientistKen Asada
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Senior research scientistSatoshi Takahashi
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Research scientistHidenori Machino
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Postdoctoral researcherAmina Bolatkan
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Postdoctoral researcherHiromi Matsumoto
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Technical scientistNorio Shinkai
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Technical staff IHiroko Kondo
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Technical staff IShigemi Yamada
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Visiting scientistKazuma Kobayashi
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Visiting scientistSyuzo Kaneko
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Visiting scientistMasayoshi Yamada
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Part-time worker IYusuke Sakaguchi
Introduction
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
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
Introduction Video
Poster(s)
- FY2023 Research Results(PDF 2MB)(Japanese version)
- FY2022 Research Results(PDF 2.08MB)(Japanese version)
- FY2021 Research Results(PDF 1.62MB)(Japanese version)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results (Japanese version)
Research Achievements
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