COMHEART2CLINIC

Translation of Computational Heart Models into the Clinic

 Coordinatore THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

 Organization address address: University Offices, Wellington Square
city: OXFORD
postcode: OX1 2JD

contact info
Titolo: Ms.
Nome: Linda
Cognome: Pialek
Email: send email
Telefono: +44 1865 289800
Fax: +44 1865 289801

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 30˙000 €
 EC contributo 30˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2009-RG
 Funding Scheme MC-ERG
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-04-01   -   2012-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

 Organization address address: University Offices, Wellington Square
city: OXFORD
postcode: OX1 2JD

contact info
Titolo: Ms.
Nome: Linda
Cognome: Pialek
Email: send email
Telefono: +44 1865 289800
Fax: +44 1865 289801

UK (OXFORD) coordinator 30˙000.00

Mappa


 Word cloud

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clinic    validation    comheart    crt    heart    patient    models    computational    therapy   

 Obiettivo del progetto (Objective)

'The main objective of ComHeart2Clinic is the integration of multi-scale computational models of the heart into the clinic, addressing the translational challenges of this research. The project is focused on the Cardiac Resynchronization Therapy – CRT, a treatment for Heart Failure. This therapy consists of the placement of three pacing leads in the heart of the patient to restore its synchrony. There is currently a rate of 30% of non-responders to CRT. Recent developments in heart computational models are providing promising tools that could increase CRT effectiveness, broaden inclusion criteria, maximize the CRT benefit and avoid unnecessary procedures. The research hypothesis is that such models will reduce the uncertainty of diagnosis and predict the response to CRT. The expected result is the development and validation of a “ComHeart-assisted CRT” system for an enhanced CRT clinical outcome by a better patient selection, lead position planning and pacemaker configuration. The project will address the personalization of the computational models, the system prototyping and the model verification & system validation.'

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