Current Research
Through the analysis of biomedical big data, we conduct research to better understand biological phenomena, e.g. immunity against, and to overcome, disease such as cancer. In the near future, it is expected that medical care will shift towards patient specific optimal therapies and drug dosages to treat and prevent disease. To achieve this, we apply data mining techniques to biomedical big data such as genomics, image, and clinical data accumulated at medical institutions, and determine the underlying causes of disease – cancer, common, and intractable ones. By reconstructing the multilayered biochemical network of organs and tissues, we can understand the disease mechanism as a whole. For example, by correlating the relationship between cancer and the surrounding microenvironment, such as immune response, we will be able to predict the response, side effects, and tolerance of different cancer treatments for each individual. In this way, we conduct research on biomedical science, making full use of state-of-the-art omic profiling technology, mathematics, and computational science.