AI classifier flags bird flu genomes more likely to spread in mammals

A research team from the LKS Faculty of Medicine at the University of Hong Kong (HKUMed) has developed a machine-learning classifier capable of analyzing the genomes of influenza A viruses (IAVs) to accurately predict their potential risk of transmission among mammals. The team has successfully identified the key clues that may explain cross-species transmission of influenza A viruses from birds to mammals, and even to humans.