Opening

Welcoming remarks

• 
  Youngmee Jee

  Commissioner,
  Korea Disease Control Prevention Agency(KDCA)

  Education

  Experience

• Congratulatory Remarks

  
  TBD

  TBD,
  Ministry of Health and Welfare(MOHW)

  Education

  Experience

• Congratulatory Remarks

  
  Gil-Jun Seo

  President,
  National Medical Center(NMC)

  Education

  Experience

• Congratulatory Remarks

  
  TBD

  President,
  Samsung’s social contribution business

  Education

  Experience

Keynote Speech

Overview of KH Donation Initiatives

Session 1. Building Research Infrastructure for Global Clinical Trial Networks on Infectious Diseases and AMR Surveillance

Speaker

• 
  David Paterson

  Professor,
  National University of Singapore

  Topic

  • Clinical trial collaboration networks : ADVANCE-ID and AMR research

  Summary
• 
  Hong-Bin Kim

  Professor,
  Seoul National University Bundang Hospital

  Topic

  • Clinical trial networks by ID specialty hospital and collaboration for global networks

  Summary
• 
  Robert Schooley

  Co-director, UC San Diego IPATH, USA

  Topic

  • Critical role of Bacteriophages in adressing Global AMR CRISIS

  Summary
• 
  Dong-Eun Yong

  Professor, Yonsei University

  Topic

  • Application of phages as medical reagents

  Summary

Session 2: Strengthening Medical Research Capacity for Pandemic Response at Infectious Disease Hospitals

Speaker

• 
  Jamie Rylance

  Case manager,
  Clinical Management Team, WHO

  Topic

  • Development and utilization of the WHO Global Clinical Platform for the next pandemic response

  Summary
• 
  Ki-Tae Kwon

  Professor, Kyungpook National University Chilgok Hospital

  Topic

  • Efficient Hospital Bed Assignment and Resource Allocation Strategies for Pandemic Response

  Summary
• 
  Michaela Diercke

  Leader, Unit 32, Robert Koch Institute

  Topic

  • Syndromic Surveillance Systems: International Experiences and Lessons

  Summary
• 
  Myung-Hee Kim

  Director, Center for Public Health Data Analysis, NMC

  Topic

  • Predicting Healthcare Demands in Pandemic Scenarios: Insights from Statistical Modelling and Big Data

  Summary

Closing