Project description
Digital twins aid atrial fibrillation treatment
Atrial fibrillation (AF) is a prevalent cardiac condition characterised by irregular heart rhythms, affecting millions worldwide. Current treatment strategies, particularly catheter ablation therapy, face challenges due to the complex nature of individual heart dynamics. The lack of precise, patient-specific models often leads to suboptimal outcomes and increased healthcare costs. With the support of the Marie Skłodowska-Curie Actions programme, the TwinCare-AF project will develop innovative methodologies for accurate modelling and therapy planning, leveraging advanced machine learning and real-time data integration. Through machine learning algorithms, these digital twins aim to define a real-time replica of the patient heart to aid medical decisions. Robust verification and validation methods ensure reliability, while in vivo testing validates predictions.
Objective
The goal of the TwinCare-AF project is to develop innovative core methodologies for accurate and real-time calibration of cardiovascular electrophysiological models and to support medical decisions in the context of atrial fibrillation and catheter ablation therapy planning. The proposed approach will focus on the generation of digital twins of patient hearts, calibrated through robust and efficient machine learning techniques, and able to replicate measured clinical data, such as electrocardiogram and electrogram recordings. Specifically, physics-informed and/or deep-learning techniques will be extended and implemented within the context of anatomically-accurate and biophysically-detailed cardiac electrophysiology, to accelerate the solution of classical forward electrophysiological model, and to solve inverse problems for identifying patient-specific physical and tissue properties of the heart. Additionally, a robust methodology for verification, validation, and uncertainty quantification will be adopted to showcase the agreement between model predictions and empirical observations, and to provide reliable estimates of confidence in the model predictions. The developed approach will be used to predict atrial fibrillation progression and determine potential ablation sets for individual patients. The predictions of the developed model will undergo testing through in vivo intraoperative clinical measurements. To enhance easy flow, robust analysis, and interpretation of patient-specific data, the novel real-time mathematical workflow for atrial fibrillation simulations will be integrated into a clinically viable platform. These tasks will leverage leading-edge mathematical methodologies, improve the observation-to-diagnosis clinical process by efficiently handling patient-specific data, and support therapy planning, ultimately enabling a scalable translation to large population cohorts.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
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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.
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-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2023-PF-01
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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.
8010 GRAZ
Austria
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.