This study presents a machine learning model that accurately predicts seasonal antigenic changes of influenza A H3N2 using genetic data. The model’s predictions can aid influenza surveillance, vaccine strain selection, and public health management.
- Syed Awais W. Shah
- Daniel P. Palomar
- Matthew R. McKay