Ryuji Hamamoto (Ph.D.)
Title
Team Leader
Members
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Team LeaderRyuji Hamamoto
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Research ScientistMasaaki Komatsu
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Research ScientistKen Asada
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Postdoctoral ResearcherSuvarna Kruthi
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Technical Staff IHiroko Kondo
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Technical Staff IShigemi Yamada
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
