Transboundary animal diseases (TADs) such as avian influenza, bluetongue virus, and foot-and-mouth disease pose serious risks to animal health, livestock production, and public health. Past outbreaks have exposed gaps in disease awareness and preparedness, with farmers often bearing the greatest impact. Effective prevention, through international collaboration, biosecurity, vaccination, and surveillance, requires coordinated action to stop the spread and support eradication efforts.

Our panellists will discuss where data and AI are going to have the greatest impact on advancing health outcomes, the delivery of care and R&D.

• AI’s impact on reducing the timeline between adoption of innovation in Human Health and Animal Health
• Improving capital efficiency - rethinking the R&D process with AI
• How common data structure and architecture design will facilitate industry collaboration and unleash the power of existing data
• Improving differential diagnosis at point of care – augmenting, not replacing, practitioner decision making
• Teaching future generations how to deliver care based on new and growing sources of data