Summary

Objectives: Based on a basic concept of “Systems Life Science: understanding life and disease as a unified system”, we move forward in research, empirical implementation, and making contributions to healthcare policy. Methods: We integrate bioinformatics and medical informatics for identifying critical issues in biological science and solving medical challenges with a concept of “Systems Life Science” which consists of “Systems Evolutionary Biology” for basic science, “Systems Pathology” for clinical sciences, and an empirical medical informatics for future medicine. Results: Our laboratory is an integrated laboratory consisting of a computational biology group in the School of Biomedical Sciences (SBS), a bioinformatics group in the Medical Research Institute (MRI), and a medical informatics group in the Information Center for Medical Sciences (ICMS) with a philosophy of “Empirical Systems Life Science”. Conclusions: Based on the philosophy of “Empirical Systems Life Science”, we continue to forward our research, education, systems implementations, and international standardization efforts. We believe that this approach will become a fundamental and effective way to uncover many of the secrets of life processes, and to help/solve complex issues for future medicine in this post genomic era with exceedingly rapidly growing amounts of -omics data and knowledge.