HNN3.0

Project cooperationUpdated on 4 December 2025

GeoSpreadAI

MD, Ph.D, Head of Doctoral and Postgraduate Studies | Associate Professor of Pulmonology at Bukovinian State Medical University

Chernivtsi, Ukraine

About

This project proposes an AI-enabled multi-agent geospatial modelling platform to enhance the prediction, monitoring and prevention of infectious disease spread. The system integrates epidemiological datasets, population mobility flows, environmental determinants and behavioural patterns to generate high-resolution, real-time simulations of transmission dynamics. By combining agent-based modelling with advanced machine-learning forecasting, the platform enables early outbreak detection, dynamic risk assessment, scenario development and evaluation of targeted public-health interventions. The solution aims to strengthen health-system preparedness, support evidence-based decision-making, and improve coordinated responses to emerging and re-emerging infectious threats across regions.

Topic

  • DESTINATION 4: HORIZON-HLTH-2026-01-CARE-01: Public procurement of innovative solutions for improving citizens' access to healthcare through integrated or personalised approaches
  • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
  • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-07: Establishing a European network of Centres of Excellence (CoEs) for Advanced Therapies Medicinal Products (ATMPs)

Type

  • Partner seeks Consortium/Coordinator

Attached files

Organisation

Bukovinian State Medical University

University

Chernivtsi, Ukraine

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