Development of preillness ("MiByo") diagnosis method for infectious diseases by AI proteomics.

This collaborative research aims to develop a method to detect infectious diseases including COVID-19 when in preillness ("MiByo") based on AI processing technology for proteomics data images obtained using high-performance two-dimensional electrophoresis technology developed in Japan (Tokyo Institute of Technology). Specifically, the Japanese team will develop a method for detecting the pre-illness state of infectious diseases, and basic data from Japanese subjects will be collected. The Thai team and the Philippines team will acquire data on Thais and Filipinos with the technical cooperation of Japan. In addition, by comparing and analyzing the data of the three countries, we will investigate the differences in biological reactions (strength of resistance, etc.) to infectious diseases by ethnic group. Each country will elucidate the causes of infectious disease morbidity that differ from country to country by formulating and testing hypotheses regarding the genetic background and environmental factors related to the susceptibility and severity of infectious diseases in each country. Through collaborative and complementary research among 3 countries, we expect a paradigm shift in health selfmanagement and a new normal for our lives.