Leveraging artificial intelligence for pandemic preparedness and response
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Leveraging Artificial Intelligence for Pandemic Preparedness and Response (HORIZON-HLTH-2025-01-DISEASE-04)
Key Facts
* Type of Action: HORIZON-RIA (Research & Innovation Action)
* Maximum EU Contribution per Project: €80 million (100 % of eligible direct costs + 25 % indirect costs)
* Opening Date: 22 May 2025
* Deadline: 16 September 2025, 17:00 Brussels time (single stage)
* Programme / Cluster: Horizon Europe – Cluster 1 *Health* 2025 Work Programme, Destination *“Tackling diseases and reducing disease burden”*
* TRL at start/end: Typically TRL 2-5 → TRL 5-7 (research-driven but with strong validation elements)
What Is Funded?
The call finances multi-disciplinary R&I projects that create or enhance trustworthy, ethical and FAIR AI tools spanning the full pandemic management cycle:
1. Prediction & Early Warning – e.g. real-time forecasting, wastewater or air biosurveillance, anomaly detection across heterogeneous datasets.
2. Prevention & Containment – AI-supported design of medical/non-medical countermeasures, logistics optimisation, behavioural intervention modelling.
3. Diagnosis & Clinical Management – differential diagnosis, risk stratification, treatment response prediction.
4. System Resilience – resource allocation, surge capacity modelling, cross-border data sharing architectures.
Projects must demonstrate EU value-added by harnessing transnational FAIR datasets, linking to infrastructures such as EHDS and EOSC, and by integrating SSH expertise to anticipate societal, ethical, gender and bias issues.
Budget Structure (Typical)
* Personnel & Subcontracting: 45-55 %
* Data acquisition/curation: 10-20 %
* Computing & AI development: 15-25 %
* Pilots/validation (incl. clinical studies): 10-15 %
* Clustering & dissemination: ≥2 % (mandatory inter-project collaboration)
* Contingency & ethics compliance: 3-5 %
> Tip: Allocate a clear work package for joint clustering activities and reserve travel + event costs from the outset.
📊 At a Glance
🇪🇺 Strategic Advantages
EU-Wide Advantages & Opportunities for “Leveraging artificial intelligence for pandemic preparedness and response” (HORIZON-HLTH-2025-01-DISEASE-04)
1. Unrestricted Access to the €16 trillion Single Market
• 450 + million potential users of AI-based pandemic tools (public-health authorities, hospitals, SMEs) enables rapid market uptake and commercial sustainability after the project.
• The Medical Device Regulation (MDR) and forthcoming AI Act create *one* conformity route for all Member States, avoiding 27 parallel authorisations and cutting time-to-market by an estimated 30-40 %.
• Alignment with the European Health Data Space (EHDS) ensures legal cross-border secondary use of health data—an asset that no single country can match in volume or diversity.
2. Deep Cross-Border Collaboration & Knowledge Exchange
• Consortium members can jointly tap EU-level data infrastructures (BBMRI-ERIC biobanks, ELIXIR, ECRIN, Euro-BioImaging) to train and validate AI models on truly pan-European cohorts—essential to minimise bias and strengthen external validity.
• Mandatory clustering with other funded projects plus synergies with HERA, ERA4Health, EIT Health, EIC Pathfinder/Transition create a built-in community of practice for continuous learning and technology transfer.
• Facilitates multi-language, multi-ethnic model development, satisfying the call’s bias-mitigation requirement and boosting model generalisability.
3. Direct Alignment with Flagship EU Strategies
• Digital Decade / Digital Europe Programme: project outcomes (trustworthy AI, high-value datasets) feed directly into twin digital-health goals.
• Green Deal & Fit-for-55: AI-optimised logistics reduce carbon footprint of medical supply chains during crises.
• EU Global Health Strategy: scalable tools strengthen the Union’s role as a global health security actor, facilitating international data reciprocity.
4. Regulatory Harmonisation & Ethics-by-Design
• The grant explicitly demands compliance with GDPR, NIS2, forthcoming AI Act, and the EHDS regulation—providing a single, predictable governance framework across all participating states.
• Early engagement with EMA, ECDC, EDPS and national ethics bodies via the project speeds future market authorisation and public-sector adoption.
• Incorporation of SSH expertise addresses societal acceptance, equity and gender/ethnicity bias from day one, reducing downstream litigation or public push-back.
5. Leveraging Europe’s World-Class Innovation Ecosystem
• Direct links to 13 European Digital Innovation Hubs for AI & Health, 24 EIT-Health Co-Location Centres, and supercomputing capacities (EuroHPC, LUMI, LEONARDO) provide unrivalled computational power and business-acceleration services.
• Encourages participation of start-ups and deep-tech SMEs, who can exploit the InvestEU SME window, EIC Accelerator, or InnovFund for scaling post-project.
6. Funding Synergies & Leverage Effect
• Combination with EU4Health (€5.3 bn) can finance post-R&I piloting in Member-State health systems.
• Structural funds (ERDF, ESF+) can bankroll regional deployments, while Digital Europe (€7.5 bn) can cover further data-space infrastructure.
• Participation unlocks preferential access to Joint Undertakings (e.g. Chips JU for edge-AI sensors, Clean Hydrogen JU for hospital energy resilience).
7. Scale & Impact Potential
• Pan-EU deployment enables real-time epidemiological dashboards covering >95 % of EU population, feeding into ECDC’s Early Warning and Response System.
• Harmonised AI enables faster coordinated response (e.g., common triage algorithms, cross-border ICU transfer optimisation) cutting morbidity and mortality during crises.
• EU visibility and standards-setting power position beneficiaries as global reference points, opening export markets and influencing WHO guidelines.
8. Strategic Competitive Edge for Participants
• Access to high-quality, FAIR, multi-country datasets gives a moat against global competitors limited to national data pools.
• IPR generated under Horizon rules (beneficiaries keep ownership, EU retains free licence for policy use) allows flexible commercial exploitation—licensing, spin-offs, or standard-essential patents.
• Consortium branding as an EU-funded, ethics-vetted project enhances trust among regulators, investors and the general public.
9. Recommended Actions to Maximise EU-Level Benefits
1. Build a consortium covering at least 10 Member States + 2 Associated Countries for dataset diversity.
2. Formal MoUs with EHDS pilot nodes and the EOSC Association to guarantee data interoperability.
3. Create an Advisory Board with HERA, ECDC, EMA, WHO-EURO, and civil-society groups to streamline future policy uptake.
4. Budget 5-7 % for joint clustering & communication to amplify EU-wide visibility and foster standardisation.
5. Map and apply for complementary funding (EIC Transition, Digital Europe, EU4Health) already during the project to secure a post-grant scaling pathway.
> Bottom line: Conducting this project at EU scale transforms isolated AI pilots into an integrated, regulation-ready, and market-shaping pandemic intelligence infrastructure—something no single country, company or dataset can deliver alone.
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