Host: The Japanese Society of Toxicology
Name : The 49th Annual Meeting of the Japanese Society of Toxicology
Date : June 30, 2022 - July 02, 2022
Our laboratory, called interdisciplinary Biology Laboratory: iBLab, is promoting interdisciplinary biological research using mathematical models and computer simulations. In recent years, with the development of advanced measurement technologies, attempts have been made to understand biological phenomena even at the level of the individual cell. These approaches are accompanied by a large amount of data, but it is extremely difficult to extract and use 100% of the information contained in the huge data. Even clinical and experimental data, which are relatively "small" data, obtained by conventional methods may contain only incomplete information. However, considering that life phenomena are basically high-dimensional and non-linear, we can expect to dominate the data by utilizing theories and accumulated knowledge developed in different fields such as mathematical science, informatics, and physics. In other words, by integrating the appropriate fields such as mathematics, informatics and physics for understanding life phenomena, we can pioneer a next-generation life science field that pursues mechanisms from a quantitative perspective. In this issue, I will introduce our research on COVID-19.
