Artificial Intelligence May Help to Predict the Next Virus to Jump from Animal to Human

Research by scientists at the University of Glasgow suggests that machine learning models developed using viral genomes can be harnessed to predict the likelihood that any animal-infecting virus will migrate to infect humans, given biologically relevant exposure. One application of the new models suggested that they could have identified SARS-CoV-2 as a relatively high-risk coronavirus strain, without any prior knowledge of zoonotic SARS-related coronaviruses.