AI Predicts Bird Flu Human Spillover

Researchers at the University of Liverpool developed a machine learning system to predict bird flu spillover ^[1]. The model identifies specific protein motifs that signal a risk of human infection ^[1]. It currently operates with 91.9% accuracy, offering a new tool for pandemic prevention ^[1]. Traditional methods often overlook these subtle genetic markers ^[1]. This AI-driven approach provides a faster way to monitor evolving avian influenza strains globally ^[1]. Scientists believe this technology could significantly improve early warning systems ^[1].