Statistical, Data Science, Health Data Science, Biological Statistical, Gastrointestinal Cancer

“Management Data Analysis I and II”, “Education Statistics”, “Specialized Exercises I and II”, “Academic Literacy PC” (undergraduate)
“Measurement and Quantitative Methodology” (Graduate School)
“Biostatistics”, “Introduction to Clinical Research”, “Statistical Social Research Method”, “Statistical Social Research Method”, “DS Project”, “Graduation Research”, “Nursing Informatics” (planned)

Graduated from the Faculty of Culture and Informatics, Doshisha University in 2011
Graduated from the Department of Statistics at the University of Western Michigan, United States in 2018.
Completed Graduate Certificate in Biostatistics (Biostatistics) Program at the University of Western Michigan, United States in 2018.
Graduate School of Medicine, Yamaguchi University Graduate School of Medicine in 2023

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

International Society of Metrology, Japan Society of Metology, Japanese Society of Metrology, Japanese Society of Cancer Treatment, American Statistics, Japan Cancer Society, Life Intelligence Consortium (LINC)

Statistics, data science, health data science, biostatistics, statistical consulting in the fields of natural and humanities and social sciences, R, personalized therapies, bridging research, clinical trials, gastrointestinal cancer, cancer immunity, dimensions, classification, SAS, Python, Julia

　I have been conducting research that leads to bridging research and personalized therapies, focusing on statistical and data science methods, especially those applied to gastrointestinal cancer research and clinical trials. Taking advantage of our experience and networks of joint research with medical, research institutes, IT/pharmaceutical companies, etc., we are promoting research toward the culture of theory.
　He also participates in the Life Intelligence Consortium (LINC)* and conducts research activities by industry, academia and government as representatives and co-owners of joint research such as "building a digital health data infrastructure nationwide", "individualization of medication/nutrition guidance", "cost-effectiveness analysis of treatment using natural language processing", and "efficiency of clinical trials".
*Consortium of All Japan, which was established in November 2016 mainly by Kyoto University, RIKEN, and the Institute for Pharmaceutical Infrastructure, Health and Nutrition, for the purpose of developing AI and big data in the life sciences fields related to pharmaceutical, chemical, food, medicine, and healthcare.

・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 Award for Excellence
・In 2020, the 41st Cancer Immunology Surgery Study Group Encouragement Award
・In 2019, the 57th Japan Society for Cancer Therapy Academic Conference

・Grants for Scientific Research (C) “CyTOF CD4+FOXP3+Cell Analysis and Role as Prognostic Factors”
・Support for research projects by young researchers at Yamaguchi University Fund, “Identification of Stage II Colorectal Cancer Prognostic Factors by CyTOF analysis of tumor invasive immune cells”.
・Grants for Scientific Research (Basic Research C) “Development of early diagnostic methods for non-viral liver cancer using natural immunodeficiency factors as new biomarkers”
・Scientific Research Grant (Basic Research C) “Development of an early diagnosis marker for liver cancer associated with lifestyle-related diseases: analysis of extratracellular vesicles” Research
・"Development of a system for predicting several months life expectancy for cancer based on in-hospital real-world data" Research representative
・Funds for Scientific Research (C) “Development of AI to predict pathological progression using real-world data using electronic medical record information” Research division
・Japan Science and Technology Agency (JST) (Co-creation Field Formation Support Program for Co-creation (COI-NEXT)) "I-being community co-creation base created with an economic development model based on health and an all-generation approach" research division.

Member of the University League Yamaguchi Data Science Education Working Group
Business trip lectures Okayama Yoshiizumi High School, Shimokansai High School (certified by Super Science High School), Hagi High School, Kitakyusyu High School
Japan Hepatobiliary Pancreatic Oncology Network (JON-HBP) Statistics Advisor
KHBO (KHBO) Statistical Advisor on Colosey Group (KHBO) Statistical Advisor
National Hospital Organization Kanmon Medical Center Statistical Advisor
Part-time lecturer, Yamaguchi University Graduate School of Medicine
Department of Gastroenterology and Oncology, Yamaguchi University Graduate School of Medicine
Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine

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

・We value our colleagues in the laboratory.
・You can clearly explain your research topic and research plan in your own words.
・You can take the initiative in research.
・Understand and evaluate others' research.
・Develop the ability to explain in an easy-to-understand manner to non-specialists in the field.
・To acquire the ability from finding and solving problems from the perspective of data science.
While valuing the importance of empirical graduation research on understanding phenomena, problem solving, and value creation through data design (planning), collecting, and analyzing data using data science (data science) approach.
"Development of human resources who can think about research from the viewpoint of statistical and data science", "Basic research on statistics and data science methods", and "Applied research that can be utilized in the natural and humanities and social sciences" as major pillars.

<Fiscal 2023 Graduation Research> (Faculty of Economics)
Impact of emission regulations on the secondhand bike market and future prospects
Investment environment Outlook using Text Mining - Analysis of the Relationship between Report and Stock Prices -
Current Status and Future Prospects of Cashless Payments
Potential of lab-gloun diamonds in the Japanese jewelry industry
Discussions on the relationship between logistics functions and Minato Community Development
Analysis of the current status of smart houses and future prospects from the perspective of management strategies
Discussions on the Development of OTT Platforms in the Republic of Korea OTT Platform -

[email protected]