Statistics, Data Science, Health Data Science, Biostatistics, Gastrointestinal Cancer

Management Data Analysis I/II, Liberal Arts Statistics, Specialized Exercise I/II, Academic Literacy PC (faculties)
Measurement and Quantitative Methodology (Graduate School)
Biostatistics, Clinical Research Overview, Statistical Social Research Method, Statistical Social Research Method Exercise, DS Project, Graduation Research, Nursing Informatics (planned)

2011 Graduated from Doshisha University Faculty of Culture and Information
Graduate School of Statistics, Western Michigan University, United States, 2018
2018 Graduate Certificate in Biostatistics, Graduate School of Statistics, Western Michigan University, United States
2023 Graduated from the Department of Medicine, Yamaguchi University Graduate School of Medicine

Ph.D. (Medical)
Master of Science (Statistics)
Graduate Certificate (Biostatistics)

International Association of Mechanical Biology, Japan Society of Mechanical Surgery, Japan Society of Cancer Therapy, American Statistical Society, Japan Society of Cancer Society, Life Intelligence Consortium (LINC)

Statistics, Data Science, Health Data Science, Biostatistics, Natural and Humanities and Social Sciences, R, personalized therapy, bridging research, clinical trials, gastrointestinal cancer, cancer immunity, dimensional shrinkage, classification, SAS, Python, Julia

　We have conducted research that leads to bridging research and individualized treatment, focusing on statistical consulting for medical research, including application of statistical and data science methods to gastrointestinal cancer research and clinical trials. We are promoting research on the theory culture while utilizing our experience and network of joint research with medical, research institutes, IT/pharmaceutical companies.
　He also participates in the Life Intelligence Consortium (LINC)* and conducts research activities in industry, academia and government as a representative and contributor of joint research such as "building digital health data infrastructure nationwide", "individualization of medication/nutrition guidance", "cost-effectiveness analysis of treatment through natural language processing", and "efficiency of clinical trials".
*All Japan Consortium was established in November 2016 by Kyoto University, RIKEN, Pharmaceutical Infrastructure, Health and Nutrition Research Institute, etc. for the purpose of developing AI and big data in the life sciences related to pharmaceutical, chemical, food, medical, and health care, and incorporated in April 2021.

・High serum proteinase-3 levels predict poor progression-free survival and lower efficacy of bevacizumab in metastatic colorectal cancer. Kei Furuya, Masao Nakajima, Ryouichi Tsunedomi, Yuki Nakagami, Ming Xu, et al. BMC cancer. 2024.
・Clinical outcomes of second‑line chemotherapy after gemcitabine and cisplatin plus S‑1 treatment for patients with advanced biliary tract cancer in the KHBO1401‑3A study. Yoshitaro Shindo, Hiroaki Nagano, Yuki Nakagami, et al. ONCOLOGY REPORTS. 2023.
・CD4 and FOXP3 as predictive markers for the recurrence of T3/T4a stage II colorectal cancer: applying a novel discrete Bayes decision rule. Yuki Nakagami, Shoichi Hazama, Nobuaki Suzuki, et al. BMC Cancer. 2022.
・Association of Plasma Branched-Chain and Aromatic Amino Acids with Reduction in Kidney Function Evaluated in Apparently Healthy Adults. MH Mahbub, Natsu Yamaguchi, Yuki Nakagami, et al. Journal of Clinical Medicine. 2021.
・Viral elimination is essential for improving surgical outcomes of HCV-related HCC: Multicenter retrospective analysis. Masao Nakajima, Shogo Kobayashi, Yuki Nakagami, et al. Annals of Gastroenterological Surgery. 2020. A top cited paper in Annals of Gastroenterological Surgery 2020-2021.
・Intratumoral-infiltrating CD4+ and FOXP3+ T Cells as Strong Positive Predictive Markers for the Prognosis of Resectable Colorectal Cancer. Taichi Kuwahara, Shoichi Hazama, Yuki Nakagami, et al. British Journal of Cancer. 2019.
・In 2020, the 33rd Japan Society of Biotherapy Encouragement Award
・In 2020, the 41st Cancer Immunology Study Group Encouragement Award
・2019, The 57th Annual Meeting of the Japanese Society of Cancer Therapy

・Grants for Scientific Research (Basic Research C): Analysis of colon tumor infiltration CD4+FOXP3+ cells by CyTOF and Role as Prognostic Factors
・Research Representative of the Yamaguchi University Fund for Young Researchers, “Identification of Stage II colon cancer prognosis factors by CyTOF analysis of tumor-invasive immune cells”
・Grant-in-Aid for Scientific Research (Basic Research C) "Early Diagnosis for Non-Valous Liver Cancer Using Natural Immune Factors as New Biomarkers"
・Grant-in-Aid for Scientific Research (Basic Research C) "Development of early diagnosis markers for liver cancer associated with lifestyle-related diseases: Analysis of extracellular vesicles in blood"
・Grant for Scientific Research (Basic Research C) "Development of a multi-month life expectancy prediction system for cancer based on in-hospital real-world data"
・Grant-in-Aid for Scientific Research (Basic Research C) "Development of AI to predict pathological progress using real-world data based on electronic medical record information"
・Japan Science and Technology Agency (COI-NEXT)) “Well-being community co-creation base created by a health-based economic development model and a whole-generation approach”

Member of the University League Yamaguchi Data Science Education Working Group
Lectures Okayama Yoshiizumi High School, Shimo Kansai High School (Super Science High School Certified School), Hagi High School, Kitakyusyu High School
Statistical Advisor of Japan Livelihood Pancreatic Oncology Network (JON-HBP)
Statistics Advisor, Kansai Liver Biblioth Onkoloji Group (KHBO)
Statistical Advisor, National Hospital Organization Kanmon Medical Center
Department of Medicine, Graduate School of Medicine, Yamaguchi University
Department of Gastroenterology and Oncology, Graduate School of Medicine, Yamaguchi University
Department of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University

Understanding phenomena, problem solving, and creating value through the approach of data science (data science)

・Take care of your colleagues in the laboratory.
・You can clearly explain your research agenda and research plan in your own words.
・You can engage in research independently.
・Understanding and evaluating other people's research.
・We will help non-specialists in the field to explain clearly.
・Develop the ability to discover problems from data science perspective to solve them.
While valuing our values, we are working hard to achieve empirical graduation research on understanding phenomena, problem solving, and value creation through data design (planning), collection and analysis using the approach of data science (data science) on various issues in research fields of interest.
We will provide guidance on "human resource development capable of thinking about research from statistical and data science perspectives", "basic research on statistical and data science methods", and "applied research that can be utilized in the fields of natural and humanities and social sciences" as major pillars.

<FY2023 Graduate Studies> (Department of Economics)
Impact of emission regulations on the second-hand motorcycle market and future prospects
Investment Environment Outlook Using Text Mining: Analysis of the Relationship between Reports and Stock Prices
Current status of cashless payments and future prospects
Potential of Lab-grown Diamonds in the Japanese Jewelry Industry
Consideration on the relationship between logistics functions and community development
Future prospects from the perspective of smart houses analysis and management strategies
Consideration on the development of the OTT platform in your own country: Focusing on the OTT platform in Korea

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