Mathematical modeling and data analysis to understand diseases and treatments

The major characteristics of life is its hierarchical structure. Human also has a hierarchical structure of groups, individuals, organs, tissues, cells, and nucleic acids, which interact with each other in complicated manners. Therefore, understanding the mechanisms of our health and disease, as well as the mechanisms by which medicines help us to improve our health, is closely linked to a deep understanding of the complexity of the physical structure of the human body.
In our laboratory, we combine data science (DS) and mathematical modeling methods to elucidate the mechanisms of drug action and disease development through approaches different from experimental research. The DS methods enable to discover factors that contribute to disease onset and drug efficacy and safety by analyzing various data in cooperation with collaborators. The mathematical modeling creates a framework for qualitative and quantitative evaluation of diseases and drug treatment processes by hypothesizing unexplored biological processes and conducting simulations on a computer. We conduct research to unravel the complexities of the human body and to realize healthy lives.
In recent years, the application of mathematical analysis, including DS, has been attracting attention in many situations related to the manufacture and distribution of pharmaceuticals. We will also work on research on analytical and evaluation methods that will contribute to the manufacture and supply of safe drugs.