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
- medical and health sciencesbasic medicineanatomy and morphology
- social sciencessociologydemographymortality
- natural scienceschemical sciencesinorganic chemistryalkaline earth metals
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesmathematicsapplied mathematicsnumerical analysis
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
S10 2TN Sheffield
United Kingdom
See on map
Participants (12)
78180 Montigny Le Bretonneux
See on map
5623EJ Eindhoven
See on map
30-059 Krakow
See on map
13353 Berlin
See on map
35065 RENNES CEDEX
See on map
13125 Berlin
See on map
5656 AG Eindhoven
See on map
22335 Hamburg
See on map
S10 2SB Sheffield
See on map
35000 RENNES
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5612 AE Eindhoven
See on map
BS8 1QU Bristol
See on map