Events
International Symposium on Modeling Virus-Human Interaction

International Symposium on Modeling Virus-Human Interaction

Intended for
  • Researcher
  • Faculty / Staff
  • Government / HEI Employee
  • Prospective Graduate Student
Date
2023.7.7 Fri 13:00 - 17:30
Venue
  • Suita Campus
  • Online events
How to apply
Contact
Moonshot Research and Development Program "Understanding and Control of Virus-Human Interaction Networks"

On Friday, July 7 from 1:00 PM, the International Symposium on Modeling Virus-Human Interaction will be jointly held by Aihara Moonshot*1 and Matsuura Moonshot*2 of Moonshot Goal 2*3 at Taniguchi Memorial Hall, Research Institute for Microbial Diseases, Osaka University.

Date: Friday, July 7 - 1:00~5:30 PM
Location:  Taniguchi Memorial Hall, Research Institute for Microbial Diseases, Osaka University (Access) or Online (Zoom)
Registration: https://forms.office.com/r/sRZd8L6Ts3

Program

1:00 - 1:10 Opening remarks
Yoshiharu Matsuura, Osaka University

1:10 - 1:50
“T cells contributing little to a first response contribute more to subsequent immune responses”
Rob de Boer, Utrecht University

2:00 - 2:40
“The role of neutralising antibodies in protection from symptomatic and severe COVID-19”
Miles Davenport, University of New South Wales

2:50 - 3:30
“Modeling and stratifying vaccine-elicited immune response”
Shingo Iwami, Nagoya University

3:30 - 3:50 Break

3:50 - 4:30
“Multiomic Single Cell analysis of B-cells during COVID-19 infection”
James Badger Wing, Osaka University

4:40 - 5:20
“The HIV reservoir passenger hypothesis”
Joshua T. Schiffer, Fred Hutch

5:20 - 5:30 Closing remarks
Kazuyuki Aihara, The University of Tokyo

To register, follow the link below:
https://forms.office.com/r/sRZd8L6Ts3


*1 Aihara Moonshot - Comprehensive Mathematical Understanding of the Complex Control System between Organs and Challenge for Ultra-Early Precision Medicine

*2 Matsuura Moonshot - Understanding and Control of Virus-Human Interaction Networks

*3 Moonshot Goal 2 - Realization of ultra-early disease prediction and intervention by 2050

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