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
- Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, Australia
- Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China
- Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Centre for Immunology & Infection, Hong Kong Science and Technology Park, Hong Kong SAR, China
Publish consent withheld
- Shah, S. A. W. et al. Seasonal antigenic prediction of influenza A H3N2 using machine learning. Nat Commun 15, 3833 (2024).