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Translational Research and Training on Atrial Cardiomyopathy as a Key to Better Atrial Fibrillation Management

Project description

Atrial cardiomyopathy research for better atrial fibrillation management

Atrial fibrillation (AF) is a complex heart rhythm disorder with multiple causes, posing significant global healthcare challenges due to increased morbidity, mortality and healthcare expenses. With the support of the Marie Skłodowska-Curie Actions programme, the TrackAF project will train researchers to improve understanding and management of AF and atrial cardiomyopathy. Applying mechanistic computer simulations as well as data-driven modelling, clinical AI, and wet-lab research, it will address gaps highlighted in the 2024 European AF guidelines, such as the need for personalised risk prediction. Key objectives include enhancing AF prediction, refining diagnostics and improving treatment outcomes. This interdisciplinary training will prepare candidates for diverse careers in medical science and support health policies and the UN’s Sustainable Development Goals.

Objective

Atrial fibrillation (AF) is a complex cardiac arrhythmia with multifactorial causes and poses significant global healthcare challenges due to increased morbidity, mortality, and healthcare costs. The TrackAF project will train 15 researchers to address gaps in our understanding of AF, atrial cardiomyopathy (ACM) their management and consequences by integrating advanced data-driven and mechanistic computational modelling, clinical AI and wet-lab research with a focus on extended time scales of AF aetiology and progression.
Systematic identification of their longitudinal effects of age and sex on AF progression and treatment outcomes remains challenging. The 2024 European AF guidelines highlight evidence gaps, including the variability in AF and ACM evolution and the need for personalised risk prediction. TrackAF will bridge these gaps through a comprehensive, interdisciplinary and intersectoral research and training program to develop innovative approaches to AF prevention, diagnosis and treatment, supporting key health policies and contributing to the UN's Sustainable Development Goals.
Our objectives include enhancing AF prediction and risk stratification using novel biomarkers, refining diagnostic techniques by multimodal stratification and improving acute and long-term management and treatment outcomes through integration of mechanistic and data-driven decision-support models. TrackAF's doctoral training will produce medical scientists with expertise in AF through a balanced structure of core research, formal training and practical secondments. This interdisciplinary approach gives doctoral candidates the ideal preparation for diverse career paths in medical science by integrating technical, ethical and legal aspects of medical research to foster innovation and collaboration across academia, industry and healthcare. The TrackAF outcomes will contribute to reducing the burden of AF and thereby improve patient quality of life across Europe and beyond.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

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

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Call for proposal

(opens in new window) HORIZON-MSCA-2024-DN-01

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Coordinator

KARLSRUHER INSTITUT FUER TECHNOLOGIE
Net EU contribution
€ 580 544,64
Address
KAISERSTRASSE 12
76131 Karlsruhe
Germany
Region
Baden-Württemberg Karlsruhe Karlsruhe, Stadtkreis
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Participants (10)

Partners (6)