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RIKEN Center for Advanced Intelligence Project Pathology Informatics Team

Team Leader: Yoichiro Yamamoto (M.D., Ph.D.)

Research Summary

Yoichiro  Yamamoto(M.D., Ph.D.)

The mission of Pathology Informatics Team is to discover novel disease mechanisms, to find new therapies or to choose the best treatment for each patient through the combination of the state-of-the-art AI technologies and the medical big data including cell-level information.
Cell-level information in pathology provides the link between the molecular biology and the clinical medicine. Comprehensive analysis of the medical information through collaborations with clinical doctors would contribute to cure current and future patients.

Main Research Fields

  • Multidisciplinary

Related Research Fields

  • Molecular Biology & Genetics
  • Clinical Medicine
  • Computer Science
  • Mathematics

Research Subjects

  • The discovery of novel disease mechanisms and therapies using Artificial Intelligence
  • Precise companion diagnostics system
  • Comprehensive analysis of medical data

Research Subjects

  • The discovery of novel disease mechanisms and therapies using Artificial Intelligence
  • Precise companion diagnostics system
  • Comprehensive analysis of medical data

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.

  • 1. Yamamoto Y, Tsuzuki T, Akatsuka J, Ueki M, Morikawa H, Numata Y, Takahara T, Tsuyuki T, Tsutsumi K, Nakazawa R, Shimizu A, Maeda I, Tsuchiya S, Kanno H, Kondo Y, Fukumoto M, Tamiya G, Ueda N, Kimura G.:
    "Automated acquisition of explainable knowledge from unannotated histopathology images."
    Nat Commun. 10, 5642 (2019).
  • 2. Akatsuka J, Yamamoto Y, Sekine T, Numata Y, Morikawa H, Tsutsumi K, Yanagi M, Endo Y, Takeda H, Hayashi T, Ueki M, Tamiya G, Maeda I, Fukumoto M, Shimizu A, Tsuzuki T, Kimura G, Kondo Y.:
    "Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches."
    Biomolecules. 9, 673 (2019).
  • 3. Yamamoto Y, Saito A, Tateishi A, Shimojo H, Kanno H, Tsuchiya S, Ito KI, Cosatto E, Graf HP, Moraleda RR, Eils R, and Grabe N.:
    "Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach."
    Sci Rep. 7, 46732 (2017).
  • 4. *Yamamoto Y, Offord CP, Kimura G, Kuribayashi S, Takeda H, Tsuchiya S, Shimojo H, Kanno H, Bozic I, Nowak MA, Bajzer ž, and Dingli D.:
    "Tumor and immune cell dynamics explain the PSA bounce after prostate cancer brachytherapy."
    Br J Cancer. 115, 195-202 (2016).
  • 5. *Saito A, Numata Y, Hamada T, Horisawa T, Cosatto E, Graf HP, Kuroda M, and Yamamoto Y.:
    "A novel method for morphological pleomorphism and heterogeneity quantitative measurement: Named cell feature level co-occurrence matrix."
    J Pathol Inform. 7, 36 (2016).
  • 6. *Yamada M, Saito A, Yamamoto Y, Cosatto E, Kurata A, Nagao T, Tateishi A, and Kuroda M.:
    "Quantitative nucleic features are effective for discrimination of intraductal proliferative lesions of the breast."
    J Pathol Inform. 7, 1 (2016).
  • 7. *Ogura M, Yamamoto Y, Miyashita H, Kumamoto H, and Fukumoto M.:
    "Quantitative analysis of nuclear shape in oral squamous cell carcinoma is useful for predicting the chemotherapeutic response."
    Med Mol Morphol. 49, 76-82 (2015).
  • 8. *Yamamoto Y, Usuda N, Oghiso Y, Kuwahara Y, and Fukumoto M.:
    "The uneven irradiation of a target cell and its dynamic movement can mathematically explain incubation period for the induction of cancer by internally deposited radionuclides."
    Health Phys. 99, 388-393 (2010).
  • 9. *Yamamoto Y, Chikawa J, Uegaki Y, Usuda N, Kuwahara Y, and Fukumoto M.:
    "Histological type of Thorotrast-induced liver tumors associated with the translocation of deposited radionuclides."
    Cancer Sci. 101, 336-340 (2010).
  • 10. *Yamamoto Y, Usuda N, Takatsuji T, Kuwahara Y, and Fukumoto M.:
    "Long incubation period for the induction of cancer by Thorotrast is attributed to the uneven irradiation of liver cells at the microscopic level."
    Radiat Res. 171, 494-503 (2009).

Recent Research Results

Related Links

Further Information

  • September 19, 2016: The Nikkei "Cancer Cells, Image Recognition using AI"
  • Research Introduction: Scientific Support Programs for Cancer Research Grant-in-Aid for Scientific Research on Innovative Areas Ministry of Education, Culture, Sports, Science and Technology (In Japanese)

Lab Members

Principal investigator

Yoichiro Yamamoto
Team Leader

Contact Information

Nihonbashi 1-chome Mitsui Building, 15th floor,
1-4-1 Nihonbashi,
Chuo-ku, Tokyo
103-0027, Japan
Email: yoichiro.yamamoto [at] riken.jp