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  7. Fujitsu Improves Efficiency in Cancer Genomic Medicine in Joint AI Research with the Institute of Medical Science at the University of Tokyo

Fujitsu Improves Efficiency in Cancer Genomic Medicine in Joint AI Research with the Institute of Medical Science at the University of Tokyo

New technology reduces amount of time spent preparing treatment plans in cancer genomic medicine by half in verification trials conducted with the Department of Hematology and Oncology

Fujitsu Laboratories Ltd.

Kawasaki, Japan, November 06, 2019

Fujitsu today announced the results of a joint research project it has been conducting with the Institute of Medical Science at the University of Tokyo since April 2018. As part of this joint research Fujitsu Laboratories Ltd. has successfully developed and verified AI technology to improve the efficiency of treatment planning in cancer genomic medicine, demonstrating its effectiveness through verification experiments at the Institute of Medical Science at the University of Tokyo.

In the field of cancer genomic medicine, creating treatment plans derived from genomic information remains a costly and time-consuming process. The newly developed technology extracts from a vast body of research and academic papers to generate a knowledge graph of cancer genomic medicine that can be used for creating treatment plans, including the effects of a given course of treatment. Verification trial experiments using this technology have allowed the Department of Hematology and Oncology at the Institute of Medical Science, the University of Tokyo to reduce the amount of work required to determine a treatment plan for acute myeloid leukemia by more than half, delivering improved efficiency.

Moving forward, Fujitsu Laboratories will support the work of medical doctors by expanding the technology to deal with a greater range of cancer types and contribute to the overall advancement of cancer genomic medicine.

The technology will be on display at "Fujitsu Forum Munich 2019" in Munich, Germany, from Wednesday, November 6.

Development Background

The goal of cancer genomic medicine is to provide optimal medical care for each patient by identifying genomic mutations in cancer patients, and predicting the likelihood of disease, as well as drug response and side effects. Starting from June 2019 in Japan, cancer gene panel testing has been covered by health insurance, and industry experts anticipate an increasing number of patients to seek further testing.

Presently, in the field of cancer genomic medicine, it remains necessary for specialist physicians to painstakingly search for relevant articles one by one from a database and determine appropriate treatment methods as well as their effects on the patient (Figure 1). To address these challenges, Fujitsu Laboratories and the Institute of Medical Science at the University of Tokyo's launched a joint AI research project beginning in April 2018 to improve the efficiency and sophistication of the work of physicians specializing in cancer genomics, subsequently conducting a verification trial for the technology.

Figure 1 Positioning of the Investigation of Treatment Plans in Cancer Genomic MedicineFigure 1 Positioning of the Investigation of Treatment Plans in Cancer Genomic Medicine

Outline of the Verification Trials

  1. Trial Period

    July 2018 to September 2019

  2. Trial Location

    Department of Hematology and Oncology, the Institute of Medical Science at the University of Tokyo

  3. Developed technology

    The new technology automatically generates a database of knowledge on the relationship between gene mutations and therapeutic drugs, and the relationship between therapeutic drugs and their effects, drawing from medical papers. This is accomplished by integrating Fujitsu's AI technology for language processing, which identifies terms and phrases used in research papers from context, as well as insight of information needed to discuss treatment policies identified by the Institute of Medical Science at the University of Tokyo.

  4. Verification Trial Details

    With the newly developed technology, 2.4 million elements relationships from 860,000 medical papers are automatically extracted as knowledge to construct a knowledge graph database for cancer genomic medicine.

    In this study, the time required for 4 physicians specializing in hematological malignancies at the Institute of Medical Science at the University of Tokyo to search and examine papers using the technology based on past cases of acute myeloid leukemia is measured, and the efficiency of examination work with and without the newly developed technology is evaluated(1) (Fig. 2). For this verification experiment, a database developed by Fujitsu Limited in cooperation with the Japan Agency for Medical Research and Development as part of the "Program for an Integrated Database of Clinical and Genomic Information"(2) is used as part of the knowledge graph.

  5. Results

    The technology reduced the burden of reading the entire paper by presenting the knowledge extracted from each paper, and enabled users to focus on pertinent aspects of research alone. As a result, it was confirmed that the new technology can reduce the amount of time spent on this task by more than half, compared with the average of about 30 minutes per each study it took in the past. At present, it is estimated that more than 12,000 people suffer from leukemia annually in Japan(3), and if genomic medical treatments are administered to all of them using this new technology, the 6,000 hours of examination work normally required for experts can be shortened to 3,000 hours or less, considerably expediting the process of determining the a treatment appropriate for each patient.

Future Plans

Technology developed at Fujitsu Laboratories to explain the reason and rationale behind AI decision-making(4) is to be used in conjunction with this technology in order to further improve the efficiency of the genomic mutation curation process. Fujitsu will further use the knowledge graph for precision medicine developed through this joint research to improve the efficiency of the study of gene mutations for a wide range of cancer types, and actively promote the development of cancer genomics in clinical practice.

Comment from our Research Partners

Professor Seiya Imoto, Health Intelligence Center, the Institute of Medical Science at the University of Tokyo
"The promise of new genomic medicine, which harness the wealth of information contained in the human genome, remains extremely difficult to fully exploit given the limited time of doctors. This trial demonstrates that AI technology can be used to support planning for treatments that target blood tumors, helping physicians to process the research literature that forms the basis of therapeutic best practices in less than half the time it has previously taken. We hope that the further development of AI technology for various genome-related medical contexts will enable more patients to receive precision medicine, contributing to the realization of medical care in Japan that can beat cancer."


  • [1] The efficiency of examination work with and without the newly developed technology is evaluated

    In the actual verification work, apart from searching relevant research papers, doctors engage in various additional work, such as interpreting sequence data, analyzing data, and creating reports.

  • [2] The Japan Agency for Medical Research and Development as part of the ”Program for an Integrated Database of Clinical and Genomic Information”

    A program based on the interim report of the Council for Promotion of Genome Medicine Implementation, to verify the relationship between genome information and disease specificity and clinical characteristics, to develop a database that comprehensively handles clinical information and genomic information that can be used for clinical and research purposes, and to promote advanced research and development that makes use of the research infrastructure.

  • [3] At present, it is estimated that more than 12,000 people suffer from leukemia annually in Japan

    Cancer Information Service, National Cancer Research Center ”Cancer registry and statistics” (Source).

  • [4] Press Release

    ”Fujitsu Fuses Deep Tensor with Knowledge Graph to Explain Reason and Basis Behind AI-Generated Findings” (September 20, 2017)

About Fujitsu

Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (Code: 6702) reported consolidated revenues of 4.0 trillion yen (US $36 billion) for the fiscal year ended March 31, 2019. For more information, please see www.fujitsu.com.

About Fujitsu Laboratories

Founded in 1968 as a wholly owned subsidiary of Fujitsu Limited, Fujitsu Laboratories Ltd. is one of the premier research centers in the world. With a global network of laboratories in Japan, China, the United States and Europe, the organization conducts a wide range of basic and applied research in the areas of Next-generation Services, Computer Servers, Networks, Electronic Devices and Advanced Materials. For more information, please see: http://www.fujitsu.com/jp/group/labs/en/.

Technical Contacts

Artificial Intelligence Laboratory

E-mail: E-mail: qa_fy2019@ml.labs.fujitsu.com
Company:Fujitsu Laboratories Ltd.

Press Contacts

Public and Investor Relations Division
Inquiries

Company:Fujitsu Limited


All company or product names mentioned herein are trademarks or registered trademarks of their respective owners. Information provided in this press release is accurate at time of publication and is subject to change without advance notice.

Date: 06 November, 2019
City: Kawasaki, Japan
Company: Fujitsu Laboratories Ltd.

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