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CDT-net: The Cardiovascular Digital Twin Network

Objective

Cardiovascular diseases have a huge impact on society in terms of mortality, morbidity and healthcare costs, being responsible for 1.9 million deaths in the EU annually with a total associated cost of €169 billion. Improving healthcare in a period of aging population and
tightening financial constraints mandates a shift towards improving efficiency and efficacy through preventive and personalised management of disease.
Recent scientific progress is creating an unprecedented ability to support human reasoning and decision making: we can now use in-silico (i.e. in the computer) models to probe what cannot be measured and simulate response to therapy before it is given. Additionally, artificial intelligence allows learning and extracting hidden patterns from large repositories of clinical data. Combining these two capabilities is the pathway towards precision cardiology, the vision of the Digital Twin in cardiovascular medicine wherein the computational avatar of each patient informs the identification and stratification of early risks, increases the accuracy of diagnosis,
and steers the design of the optimal therapeutic strategy.
The complexity of our healthcare systems, the intricate mechanisms of cardiac pathophysiology, the societal, ethical, and regulatory barriers to the adoption of new technologies, and the intrinsic difficulties in developing trustworthy computational solutions, are
some of the challenges that need to be tackled to fulfil this vision. CDTnet will address these challenges by training ten innovation leaders to develop practical and effective solutions, building bridges between disciplines (medicine, computer science, engineering and sociology) and sectors (academic, clinic, industrial and regulatory), to realise the potential of the Digital Twin in cardiovascular medicine.

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.

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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-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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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-MSCA-2025-DN-01

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Coordinator

KING'S COLLEGE LONDON
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.

€ 1 046 214,36
Address
STRAND
WC2R 2LS London
United Kingdom

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Region
London Inner London — West Westminster
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 (9)

Partners (10)

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