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8th Edition of World Congress on Infectious Diseases

June 09-11, 2025 | Rome, Italy

June 09 -11, 2025 | Rome, Italy

Artificial Intelligence and Big Data in Infectious Disease Management

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.

Committee Members
Speaker at Infectious Diseases Conferences - Francis J. Castellino

Francis J. Castellino

University of Notre Dame, United States
Speaker at Infection Conferences - Stephen Hsu

Stephen Hsu

Augusta University, United States
Speaker at Infectious Diseases Conferences - Claudia Ferreira

Claudia Ferreira

Biophytis Sorbonne, France
Infection 2025 Speakers
Speaker at Infection Conferences - Yazdan Mirzanejad

Yazdan Mirzanejad

University of British Columbia, Canada
Speaker at Infectious Diseases Conference - Elena Chiappini

Elena Chiappini

University of Florence, Italy
Speaker at Infection Conferences - Dong H Kwon

Dong H Kwon

Long Island University, United States
Speaker at Infection Conferences - Debra Hawkins

Debra Hawkins

University of Oklahoma, United States
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