Objective
Europe is facing a striking change in its demographics with an increasingly larger proportion of citizens aged 65 years and over. Aging is characterized by a progressive decline in the physiological functions of the body, with very notable effects on the heart. These effects are associated with a higher prevalence of arrhythmias, which, on top of deteriorating quality of life, increase the risk of other cardiovascular diseases like stroke, heart failure and neurological sequelae. Investigations targeting cardiac aging have often focused on assessing the effects of a specific contributing factor, at a single evaluation scale (molecular, cell, tissue, organ) and in many cases using animal species not relevant to humans in terms of aging mechanisms. MODELAGE proposes a multi-scale, multi-factorial research that is expected to make an important step in the characterization of human heart aging at both the population and individual levels. MODELAGE will work on an integrative methodological framework in which in silico modeling will be combined with in vitro cell and tissue analysis and in vivo electrocardiographic evaluation to investigate how cardiac aging manifests at a range of scales, from cell to body surface, and how electrical, structural and autonomic alterations contribute to such manifestations in humans. Indices describing spatio-temporal dynamics of cardiac electrophysiology will be evaluated in a population of young to senescent individuals using a novel feedback control approach. Inter-individual age-related variations in those indices will be assessed and correlated with markers of biological age (as opposed to chronological age). By investigating the mechanisms underlying inter-individual differences in cardiac dynamics, MODELAGE will set links to arrhythmia susceptibility and will propose novel non-invasive markers to identify high-risk senescent individuals for which preventive anti-arrhythmic treatment should be considered.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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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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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
ERC-STG - Starting Grant
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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) ERC-2014-STG
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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.
50009 ZARAGOZA
Spain
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.