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CORDIS

Personalised Decision Support for Heart Valve Disease

Objective

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.

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.

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Call for proposal

(opens in new window) H2020-PHC-2014-2015

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Sub call

H2020-PHC-2015-single-stage

Coordinator

THE UNIVERSITY OF SHEFFIELD
Net EU contribution
€ 566 538,77
Address
FIRTH COURT WESTERN BANK
S10 2TN Sheffield
United Kingdom

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Region
Yorkshire and the Humber South Yorkshire Sheffield
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 566 538,78

Participants (12)

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