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Interpretable Multimodal Predictive Agents and Digital Twins for Ovarian Cancer

Objective

IMPACT-OC builds an interpretable, standards-first decision-support stack not only for patients with ovarian cancer but also for indeterminate adnexal lesions and women with unknown hereditary risk for developing ovarian cancer. Calibrated modality-specific agents (imaging, pathology, genomics, clinical text) and a super-agent fuse evidence with guideline logic, site policies and explicit uncertainty to produce auditable recommendations. A longitudinal digital twin forecasts trajectories and short what-if scenarios. Outputs surface via a clinician dashboard and report agent. Privacy-preserving scale-up is central: data stay on site; federated learning exchanges encrypted updates; safety-gated synthetic datasets support benchmarking and stress tests. All assets interoperate through DICOM/DICOMweb for imaging and HL7 FHIR/OMOP for structured data, with DCAT-AP metadata, provenance and model cards. Multilingual NLP and adapted foundation models are packaged as lightweight services. Validation is strictly non-interventional (TRL-4), using retrospective and time-shifted feeds for internal–external testing, calibration, uncertainty quality and fairness audits across centres, scanners, languages and subgroups—without influencing care. Three pilots anchor evaluation: expertise-aware triage between primary surgery and neoadjuvant chemotherapy in advanced HGSOC; ultrasound-based preselection for HRD/BRCA testing; and calibrated multimodal risk for adnexal-mass management. Data access from four European centres enables a three-period plan: foundations (ethics, harmonisation, baseline agents), integration (digital twin v1, dashboards, shadow-mode replay) and final validation (explainability, robustness, fairness). Outputs—open interfaces, interoperability profiles and CE-readiness materials—support adoption by hospitals and SMEs, aligned with the EU AI Act, Medical Device Regulation, EUCAIM and EHDS.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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-EIC - HORIZON EIC Grants

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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-EIC-2025-PATHFINDERCHALLENGES-01

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Coordinator

DANUBE PRIVATE UNIVERSITY GMBH
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.

€ 628 260,02
Address
STEINER LANDSTRASSE 124
3500 KREMS-STEIN
Austria

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Ostösterreich Wien Wien
Activity type
Higher or Secondary 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.

No data

Participants (8)

Partners (1)