Machine Learning in One Health

Explore the intersection of machine learning and One Health in this insightful 55-minute conference talk from the Toronto Machine Learning Series (TMLS). Discover how advanced data analysis techniques are being applied to address complex health challenges that span human, animal, and environmental domains. Learn about innovative applications of machine learning in disease surveillance, zoonotic outbreak prediction, and ecosystem health monitoring. Gain valuable insights into the potential of AI-driven solutions to enhance global health security and promote a more holistic approach to healthcare. Understand the challenges and opportunities in integrating diverse data sources to create comprehensive health models that benefit both human and animal populations.

Machine Learning in One Health