IMSUT, International Joint Usage/Research Center-Young Researchers Symposium
Announcement
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.
Poster
Registration
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.
Program
Opening Remarks
13:30- Yuji Yamanashi
Dean, IMSUT
Lecture
13:35- See-Kiong Ng
National University of Singapore, Singapore
Can AI rescue us from diseases and pandemics?
Presentations
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
Lecture
15:35- Rui Yamaguchi
Division of Cancer Systems Biology, Aichi Cancer Center Research Institute
Data science and artificial intelligence toward genomic precision medicine
Presentations
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
IMSUT
Development of deep learning architectures for nanopore-based whole-genome methylation profiling
Closing
17:05- Seiya Imoto
IMSUT