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Personalised Decision Support for Heart Valve Disease

Objectif

Valvular Heart Disease currently affects 2.5% of the population, but is overwhelmingly a disease of the elderly and consequently on the rise. It is dominated by two conditions, Aortic Stenosis and Mitral Regurgitation, both of which are associated with significant morbidity and mortality, yet which pose a truly demanding challenge for treatment optimisation. By combining multiple complex modelling components developed in recent EC-funded research projects, a comprehensive, clinically-compliant decision-support system will be developed to meet this challenge, by quantifying individualised disease severity and patient impairment, predicting disease progression, ranking the effectiveness of alternative candidate procedures, and optimising the patient-specific intervention plan. This algorithmically-driven process will dramatically improve outcomes and consistency across Europe in this fast-growing patient group, maximising individual, societal and economic outcomes.

Champ scientifique

Programme(s)

Thème(s)

Appel à propositions

H2020-PHC-2014-2015

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Sous appel

H2020-PHC-2015-single-stage

Régime de financement

RIA - Research and Innovation action

Coordinateur

THE UNIVERSITY OF SHEFFIELD
Contribution nette de l'UE
€ 566 538,77
Adresse
FIRTH COURT WESTERN BANK
S10 2TN Sheffield
Royaume-Uni

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Région
Yorkshire and the Humber South Yorkshire Sheffield
Type d’activité
Higher or Secondary Education Establishments
Liens
Coût total
€ 566 538,78

Participants (12)

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Dernière mise à jour: 16 Août 2022

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Permalink: https://cordis.europa.eu/project/id/689617/fr

European Union, 2024