AI-Powered Predictive Outbreak Analytics

Focus: Using machine learning and big data to forecast, model, and mitigate the spread of infectious diseases.

  • Key Topics:
    • Epidemic Forecasting: Developing ML models to predict outbreak trajectories, hotspots, and resurgence of pathogens like influenza, dengue.
    • Early Warning Systems: Integrating disparate data sources (e.g., wastewater surveillance, internet search trends, climate data, flight patterns) for early signal detection.
    • One Health Surveillance: Applying AI to analyze data from animal populations, environmental sensors, and human health records to predict zoonotic spillover events.
    • Evaluating Intervention Impact: Simulating and forecasting the effects of public health interventions (e.g., travel restrictions, lockdowns) before implementation.

    Related Conference of AI-Powered Predictive Outbreak Analytics

    December 11-12, 2025

    8th Annual Congress on Bacterial, Viral and Infectious Diseases

    Prague, Czech Republic
    December 15-16, 2025

    7th Global Experts Meeting on Infectious Diseases

    Barcelona, Spain
    December 17-18, 2025

    17th Global Conference on Nephrology and Infectious Diseases

    Amsterdam, Netherlands
    May 18-19, 2026

    15th World Congress on Rare Diseases and Orphan Drugs

    Prague, Czech Republic

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