Researchers are using machine learning to study and predict highly pathogenic avian influenza outbreaks, with a focus on understanding the drivers and patterns of these outbreaks in various regions, including Europe. The role of environmental factors and wild birds in the spread of the disease is being investigated. Prediction models are being developed and compared across different countries, including Japan, South Korea, and Europe, with some models showing differences in outbreak patterns between these regions.