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IMSUT, International Joint Usage/Research Center-Young Researchers Symposium

The Power of Data Science to Accelerate Health Medical Research 

Day: 26 March 2021 (13:30-17:15 JST)
Location: Virtual Event

On 13 November 2019, the Institute of Medical Science, the University of Tokyo was authorized as the "International Joint Research Center for Promoting Basic and Applied Research and Implementing Translational Research" by the Minister of Education, Culture, Sports, Science and Technology, and has been promoting international research collaborations. Data science has the power to accelerate the collaborations. This year's symposium, "The Power of Data Science to Accelerate Health Medical Research," will focus on the data science of novel coronavirus infections and cancer genomes, which have a major impact on current health, medicine, and society.


The Power of Data Science to Accelerate


This symposium will be held online by Webex Events. The event number for this symposium on Webex Events is 1846203872. Please go to the Webex Events website and enter "Event Number: 1846203872" to "Register" for this symposium.

Webex Events website



Opening Remarks

13:30- Yuji Yamanashi




13:35- See-Kiong Ng

National University of Singapore, Singapore

Can AI rescue us from diseases and pandemics?



14:25- Michio Murakami

Department of Health Risk Communication, Fukushima Medical University School of Medicine

Risk assessment for mass gathering events


14:45- So Nakagawa

Department of Molecular Life Science, Tokai University School of Medicine

Comparative genomic analysis of SARS-CoV-2 and closely-related coronaviruses


15:05- Fuminari Miura

RIVM National Institute for Public Health and the Environment, Netherlands/Ehime University

Implications of wastewater-based epidemiology: can wastewater data reveal hidden transmissions?

15:25-15:35 Break



15:35- Rui Yamaguchi

Division of Cancer Systems Biology, Aichi Cancer Center Research Institute

Data science and artificial intelligence toward genomic precision medicine



16:25- Yanan Wang

Biomedicine Discovery Institute and the Department of Biochemistry and Molecular Biology at Monash University, Australia

Histopathological image analysis using deep learning


16:45- Yaozhong Zhang


Development of deep learning architectures for nanopore-based whole-genome methylation profiling



17:05- Seiya Imoto


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