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
ID-FISH Technology, United States
Yazdan Mirzanejad
University of British Columbia, Canada
Alexis Torres Rodriguez
NewYork-Presbyterian Queens Hospital, United States
Sasha Leibholz
New York Presbyterian Columbia/Cornell, United States
Hana Raza
Mclaren Oakland Hospital, United States
Terri Menser
Mayo Clinic, United StatesSubmit your abstract Today
Title : Bioterrorism through the ages: Historical perspective, emerging threats, and medical countermeasures
Claudia Ferreira, Sorbonne University, France
Title : Changing population immunity to COVID-19 in the context of infection, vaccination, and emerging SARS-CoV-2 variants
Ranjan Ramasamy, ID-FISH Technology, United States
Title : From bench to preclinical evaluation: LL-37-derived peptides for combating orthopedic infections
Vincenzo Pennone, IRCCS Galeazzi Sant’Ambrogio Hospital, Italy
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 : 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 : Personalized and precision medicine (PPM) as a unique healthcare model to se-cure the human healthcare, wellness and biosafety through the view of public health, network driven healthcare services and lifestyle management
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation