Datensatz #185109 - GSI Repository

EurValve

Personalised Decision Support for Heart Valve Disease

Coordinator	Philips GmbH ; STICHTING CATHARINA ZIEKENHUIS ; THERENVA ; PHILIPS ELECTRONICS NEDERLAND BV ; University of Sheffield ; Eindhoven University of Technology ; University of Bristol ; Sheffield Teaching Hospitals NHS Foundation Trust ; University of Rennes 2 - Movement, Sport and health Sciences Laboratory ; Deutsches Herzzentrum Berlin ; MAX DELBRUECK CENTRUM FUER MOLEKULARE MEDIZIN IN DER HELMHOLTZ-GEMEINSCHAFT (MDC) ; ANSYS FRANCE SAS ; AGH University of Science and Technology
Grant period	2016-02-01 - 2019-01-31
Funding body	European Union
Call number	H2020-PHC-2015-single-stage
Grant number	689617
Identifier	G:(EU-Grant)689617

Note: 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.

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Datensatz erzeugt am 2016-02-14, letzte Änderung am 2023-02-12

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