Medical Informatics Project

Simulating the dynamic behavior of living organisms at different levels helps understand the changes occurring gradually with disease and predict their response to drugs. We are developing mathematical models at the molecular, cellular, and organ levels to construct a virtual human body. We also produce the information technology and omics analysis needed in medical and nursing practice. We also conduct gaze analysis to improve the effectiveness of practical training in nursing education and search for disease markers using metabolomics.

Publication

1. Sugimoto M, Oyamada M, Tomita A, Inada C, Sato M. Assessing the Link between Nurses' Proficiency and Situational Awareness in Neonatal Care Practice Using an Eye Tracker: An Observational Study Using a Simulator. Healthcare. 2024;12(2):157.
2. Sugimoto M, Kaneko N, Oyamada M, Tomita A, Sato M. Eye-tracking analysis for situation awareness of incontinence pad changing during older adult nursing training: An observational study. Nurse Educ Pract. 2024;76:103935.
3. Kajiwara N, Kakihana M, Maesugiyamada J, Kaneko M, Ota S, Enomoto A, Ikeda N, Sugimoto M. Salivary metabolomic biomarkers for non-invasive lung cancer detection. Cancer Sci. 2024;115(5):1695-1705.
4. Ohta T, Sugimoto M, Ito Y, Horikawa S, Okui Y, Sakaki H, Seino M, Sunamura M, Nagase S. Profiling of metabolic dysregulation in ovarian cancer tissues and biofluids. Sci Rep. 2024;14(1):21555.
5. Maeda K, Hagimori S, Sugimoto M, Sakai Y, Nishikawa M. Simulation of the crosstalk between glucose and acetaminophen metabolism in a liver zonation model. Front Pharmacol. 2022, 13:995597.
6. Yoshizawa M, Sugimoto M, Tanaka M, Sakai Y, Nishikawa M. Computational simulation of liver fibrosis dynamics. Sci Rep. 2022;12(1):14112.
7. Sugimoto M, Tomita A, Oyamada M, Sato M. Eye-Tracking-Based Analysis of Situational Awareness of Nurses. Healthcare. 2022;10(11):2131.
8. Yanagisawa H, Sugimoto M, Miyashita T. Mathematical simulation of tumour angiogenesis: angiopoietin balance is a key factor in vessel growth and regression. Sci Rep. 2021;11(1):419.

Masahiro Sugimoto
Professor