Centers & Labs

Home > Research > Centers & Labs > RIKEN Center for Advanced Intelligence Project > Goal-Oriented Technology Research Group >

RIKEN Center for Advanced Intelligence Project

Pathology Informatics Unit

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

The mission of Pathology Informatics Unit 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 Field

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

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.
  1. 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).
  2. *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).
  3. *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).
  4. *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).
  5. *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).
  6. *Yamamoto Y, Oguro T, Mieda J, Ohashi R, Tsuchiya S:
    "In situ search for breast cancer stem cells and their niche: the film sheet epoxy resin embedding method and breast cancer stem cells (Abstract of the 2011th Maruyama Memorial Lectures)."
    J Nippon Med Sch. 80, 240-241 (2013).
  7. *Yamamoto Y, Yamamoto Y, Marugame A, Ogura M, Saito A, Ohta K, Fukumoto M, and Murata T.:
    "Age-related decrease of the retinal vasculature area evaluated by a novel computer-aided analysis system."
    Tohoku J Exp Med. 228, 229-237 (2012).
  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).

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

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)

Home > Research > Centers & Labs > RIKEN Center for Advanced Intelligence Project > Goal-Oriented Technology Research Group >