10th Edition of World Congress on Infectious Diseases
June 25-27, 2026 | Barcelona, Spain
Artificial Intelligence and Big Data in Infectious Disease Management
Artificial intelligence (AI) and big data are revolutionizing infectious disease management by enhancing the speed and accuracy of diagnosis, treatment, and outbreak prediction. Through the application of artificial intelligence and big data in infectious disease management, AI algorithms are used to analyze vast amounts of data, such as patient records, genetic sequences, and epidemiological trends, to identify patterns and predict potential outbreaks. Big data allows healthcare systems to make informed decisions based on real-time information, improving resource allocation and response times. By leveraging machine learning models, healthcare providers can personalize treatment plans and detect infections earlier, leading to better patient outcomes. The integration of AI and big data is essential for creating more efficient, proactive approaches to managing infectious diseases globally.
Francis J Castellino
University of Notre Dame, United States
Ranjan Ramasamy
IDFISH Technology, United States
Saurabh Chattopadhyay
University of Kentucky College of Medicine, United States
Rico Leonardo Lizbinski
Northern Light Health, United States
Sasha Leibholz
New York Presbyterian Columbia/Cornell, United States
Lauren Gruffi
New York Presbyterian Columbia/Cornell, United States
Stephanie Maltais
University of Montreal, CanadaSubmit your abstract Today
Title : Extensively drug-resistant bacterial infections: Confronting a global crisis with urgent solutions in prevention, surveillance, and treatment
Yazdan Mirzanejad, University of British Columbia, Canada
Title : Pathogen-derived noncanonical epitopes: Are they valuable targets for novel vaccinations and shall we be concerned about autoimmune responses?
Michele Mishto, Francis Crick Institute, United Kingdom
Title : Bioterrorism through the ages: Historical perspective, emerging threats, and medical countermeasures
Claudia Ferreira, Sorbonne University, France
Title : Measles vaccination coverage indicators in 2023 and advance towards measles elimination and eradication by 2030
Pedro Plans Rubio, College of Physicians of Barcelona, Spain
Title : Mathematical modeling of COVID-19 dynamics in a West African context
Christabel Emaeyak James, University of Glasgow, United Kingdom
Title : Severe influenza and other related respiratory infection cases during Omicron era in Japan
Masafumi Seki, Saitama Medical University International Medical Center, Japan