Poster Presentation 12th Australasian Virology Society Meeting 2024

Seasonal antigenic prediction of influenza A H3N2 using machine learning (#233)

Syed Awais Wahab Shah 1 , Daniel Palomar 2 , Ian Barr 3 4 , Leo Poon 5 6 , Ahmed Abdul Quadeer 1 2 , Matthew McKay 1 3
  1. Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, Australia
  2. Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China
  3. Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC, Australia
  4. WHO Collaborating Centre for Reference and Research on Influenza, at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
  5. School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
  6. Centre for Immunology & Infection, Hong Kong Science and Technology Park, Hong Kong SAR, China
Publish consent withheld
  1. Shah, S. A. W. et al. Seasonal antigenic prediction of influenza A H3N2 using machine learning. Nat Commun 15, 3833 (2024).