Researchers at Washington State University have developed a machine learning model that predicts which animal species are likely to host and transmit viruses, pinpointing potential outbreak hotspots.
By incorporating both host characteristics and viral genetics, the tool offers a more accurate method for anticipating zoonotic threats and guiding surveillance efforts than previous models. “Nearly three-quarters of emerging viruses that infect humans come from animals. If we can better predict which species pose the greatest risk, we can take proactive measures to prevent pandemics,” said Stephanie Seifert, assistant professor at Washington State University.
By harnessing AI to anticipate and prevent disease spread, this breakthrough highlights the transformative intersection of biotechnology and AI driven by Washington state.