European Unified Cancer diagnostics and treatment AI agentbroad
EUcanAI · Horizon Europe grant · 2026-09-01–2030-08-31
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2025-PATHFINDERCHALLENGES-01 · scheme HORIZON-EIC · topic HORIZON-EIC-2025-PATHFINDERCHALLENGES-01-02. CORDIS record →
Objective
The EUcanAI project pioneers a new paradigm for clinical management of central nervous system (CNS) cancers by creating a modular, agentic Generative AI ecosystem that unifies diagnosis and treatment into an integrated continuum of care. Current workflows in neuro-oncology are fragmented, slow, and highly dependent on individual expertise, leading to variable outcomes. EUcanAI transforms this landscape by developing interoperable AI agents that interact across three technological domains: (i) multimodal integration through an orchestration agent capable of synthesising clinical, imaging, histopathological and molecular data into transparent tumour board recommendations; (ii) medical data augmentation via generative models that produce synthetic MRI sequences, FFPE-quality histology from frozen sections, and rare diagnostic scenarios for model training and benchmarking; and (iii) knowledge representation and reasoning frameworks aligned with WHO CNS tumour classifications, ensuring transparent provenance, reproducibility, and explainable decision support. The consortium unites 13 leading institutions across 3 EU Member States (Germany, Austria, Denmark), 1 Associated Partner (Korea), and 1 international collaborator (WHO-IARC), ensuring regional diversity, complementary expertise, and global external validation. This partnership enables access to the largest harmonised CNS tumour datasets in Europe (>10,000 cases) and world-class clinical infrastructures for multi-centre validation.Through staged retrospective and prospective studies, EUcanAI will deliver clinically validated, human-in-the-loop AI systems supporting every step of CNS cancer care—from patient history extraction to intraoperative diagnostics and therapeutic planning. By embedding regulatory compliance with the EU AI Act, MDR and GDPR from inception, EUcanAI ensures trustworthy, sovereign and clinically adoptable AI.
Beneficiaries (13)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG | DE | coordinator | €646,512 | |
| DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG | DE | participant | €492,275 | |
| UNIVERSITAETSKLINIKUM ESSEN | DE | participant | €406,750 | |
| KOBENHAVNS UNIVERSITET | DK | participant | €365,030 | |
| UNIVERSITATSKLINIKUM BONN | DE | participant | €338,530 | |
| UNIVERSITAET GREIFSWALD | DE | participant | €331,860 | |
| TECHNISCHE HOCHSCHULE KOLN | DE | participant | €305,985 | |
| CENTRE INTERNATIONAL DE RECHERCHE SUR LE CANCER | FR | participant | €245,370 | |
| MEDIZINISCHE UNIVERSITAT INNSBRUCK | AT | participant | €211,845 | |
| UNIVERSITATSKLINIKUM ERLANGEN | DE | participant | €190,128 | |
| MEDIZINISCHE UNIVERSITAET WIEN | AT | participant | €187,500 | |
| JOHANN WOLFGANG GOETHE-UNIVERSITAET FRANKFURT AM MAIN | DE | participant | €184,250 | |
| YONSEI UNIVERSITY | KR | associatedPartner | — |
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