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
Programme(s)
Topic(s)
Call for proposal
H2020-PHC-2015-single-stage
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Funding Scheme
RIA - Research and Innovation actionCoordinator
S10 2TN Sheffield
United Kingdom
Participants (12)
78180 Montigny Le Bretonneux
5623EJ Eindhoven
30-059 Krakow
13353 Berlin
35065 Rennes Cedex
13125 Berlin
5656 AG Eindhoven
22335 Hamburg
S10 2SB Sheffield
35000 Rennes
5612 AE Eindhoven
BS8 1QU Bristol