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A Multi-Agent Framework for Safe, Specialised, and Adaptive Clinical Reasoning

Objective

AIM-SAFE develops a European multi-agent framework for trustworthy Generative AI in clinical decision support, tackling patient safety challenges in polypharmacy management and oncology treatment optimization. Its modular, locally deployed architecture leverages containerised SLM-powered agents that collaborate on bounded clinical functions, such as adverse drug event prediction, deprescribing support, pharmacogenomic reasoning, and phenoconversion modeling, while operating within hospital environments under robust privacy controls, continuous federated learning workflows, and explainable intelligence, fully aligned with European data governance laws (e.g. GDPR, AI Act, EHDS). Beyond model development, AIM-SAFE equips researchers and clinicians with the knowledge, tools, and governance frameworks to apply Generative AI responsibly and effectively in practice. AIM-SAFE delivers open-source toolkits, FAIR datasets, and Safety Co-Pilot modules to advance trustworthy healthcare AI, ensuring ethics, transparency, and patient safety. Its key components include the CAFEIN federated learning platform, explainable AI engines enhanced with Reinforcement Learning from Human Feedback loops, and integrated safety governance through the RUC2 framework. This approach enables privacy-preserving data harmonization across clinical partners, ensuring sensitive data remains under local control while contributing to shared models. The system integrates multimodal biomedical data from EHRs, pharmacogenomic profiles, imaging metadata, and European knowledge databases. By reinforcing European digital sovereignty, reducing reliance on non-EU AI providers, and ensuring full compliance with EU ethical, legal, and regulatory principles, AIM-SAFE transforms clinical decision support into a safe, explainable, and human-centred approach that reduces adverse drug events, improves patient care, and contributes to lower mortality and healthcare costs.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-HLTH-2025-01

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Coordinator

REGION SYDDANMARK
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 117 812,50
Address
DAMHAVEN 12
7100 Vejle
Denmark

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Region
Danmark Syddanmark Sydjylland
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 117 812,50

Participants (25)

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