HYBRID EVENT: You can participate in person at Tokyo, Japan or Virtually from your home or work.

Artificial Intelligence and Big Data in Infectious Disease Management

Artificial Intelligence and Big Data in Infectious Disease Management

The integration of artificial intelligence (AI) and big data in infectious disease management is transforming the way public health officials and clinicians tackle the global burden of infections. With the power of Artificial Intelligence and Big Data in Infectious Disease Management, AI-driven predictive models can process complex datasets, helping to anticipate outbreaks and track disease progression. Big data analytics provides insights into transmission patterns, resistance trends, and patient demographics, enabling more effective surveillance and intervention strategies. In managing infectious diseases, AI applications are also instrumental in drug discovery, diagnostics, and optimizing treatment regimens. With continuous advancements in AI technology and the expanding availability of big data, the future of infectious disease management holds immense potential for improving global health outcomes.

Committee Members
Speaker at World Congress on Infectious Diseases & One Health 2026 - Reza Nassiri

Reza Nassiri

Michigan State University, United States
Speaker at World Congress on Infectious Diseases & One Health 2026 - Francis J Castellino

Francis J Castellino

University of Notre Dame, United States
Tags

Submit your abstract Today

Newsletter

By signing up, you agree to join our mailing list to receive information and updates.

Watsapp