Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

Multimodal Digital TWINs with Generative AI for eXplainable Precision Medicine

Objective

TWIN-X will build an interactive digital patient twin for oncology and cardiology that integrates imaging, clinical narratives, laboratory data and pathology to support precision medicine. The twin is a modular, clinically coherent representation that clinical researchers can interrogate and update through transparent queries, what if simulations and counterfactual exploration. Users can compare therapeutic options and timing, inspect predicted trajectories with calibrated uncertainty, trace outputs to underlying evidence and receive concise, verifiable rationales generated from structured sources. Generative AI first structures data before embedding to preserve clinical meaning and enable faithful explanations. Trust is ensured through end to end calibration, out of distribution detection, selective abstention, human oversight and equity audits with mitigation. Data remain within institutions under GDPR through federated training, pseudonymisation and strict governance. Interoperability follows established standards. We will deliver reference implementations, evaluation protocols and model and data cards, and validate prototypes on retrospective European cohorts at TRL 4-5. TWIN-X will advance robust, explainable generative AI tools for health research and prepare documentation required for future conformity assessment under the EU AI Act and Medical Device Regulation. Expected impact is faster evidence generation and auditable decision support in simulated workflows, with no patient facing deployment during the project.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

You need to log in or register to use this function

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-RIA - HORIZON Research and Innovation Actions

See all projects funded under this funding scheme

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

See all projects funded under this call

Coordinator

KLINIKUM DER TECHNISCHEN UNIVERSITÄT MÜNCHEN (TUM KLINIKUM)
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.

€ 3 118 907,50
Address
ISMANINGER STRASSE 22
81675 Muenchen
Germany

See on map

Region
Bayern Oberbayern München, Kreisfreie Stadt
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.

€ 3 118 907,50

Participants (18)