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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.

WCID 2025 Speakers
Speaker at World Congress on Infectious Disease 2025 - Anmol Grewal

Anmol Grewal

Abrazo Health, United States
Speaker at World Congress on Infectious Disease 2025 - Darya V Fridman

Darya V Fridman

The Southern Nevada LGBTQ+ Center, United States
Speaker at World Congress on Infectious Disease 2025 - Matheus de Oliveira Nogueira

Matheus de Oliveira Nogueira

AFYA Faculty of Medical Sciences, Brazil
Speaker at World Congress on Infectious Disease 2025 - Hua Luo

Hua Luo

Peking University, China
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