10th Edition of
World Congress on Infectious Diseases & One Health
October 05-07, 2026 | Tokyo, Japan
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.
Title : Molecular crosstalk between the host and pathogen in Streptococcus pyogenes virulence
Francis J Castellino, University of Notre Dame, United States
Title : Phenotypic characterisation of non tuberculous mycobacterium species isolated from clinical specimens
Anant Marathe, Parul Institute of Medical Sciences and Research, Parul University, India
Title : An unprecedented West Nile virus outbreak in Israel (2024): A textbook case for the One Health approach
Michel Bellaiche, Kimron Veterinary Institute, Israel
Title : Changing population immunity to COVID-19 in the context of infection, vaccination and emerging SARS-CoV-2 variants
Ranjan Ramasamy, IDFISH Technology, United States
Title : Candida auris infections are global health challenge
Reza Nassiri, Michigan State University, United States
Title : Host brakes on viral inflammation
Saurabh Chattopadhyay, University of Kentucky College of Medicine, United States