COMPCARDMECH

Computational Tools for Cardiac Mechanics

 Coordinatore EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH 

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Sebastian
Cognome: Kozerke
Email: send email
Telefono: +41 44 632 3549

 Nazionalità Coordinatore Switzerland [CH]
 Totale costo 275˙362 €
 EC contributo 275˙362 €
 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-2011-IOF
 Funding Scheme MC-IOF
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-09-01   -   2015-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Sebastian
Cognome: Kozerke
Email: send email
Telefono: +41 44 632 3549

CH (ZUERICH) coordinator 275˙362.50

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

tissues    tools    mechanics    predict    patient    therapies    diseased    heart    induced    cardiologists    infarcted    disease    infarction    imaging    cardiovascular    myocardial    us    computational    theoretical    cardiac    medicine    simulation    world   

 Obiettivo del progetto (Objective)

'Cardiovascular disease is the leading cause of death and disability in Europe and in the World. Heart failure itself, primarily caused by myocardial infarction, has now reached epidemic proportions. If past clinical therapies have been developed by trial-and-error, new therapies must now be designed through the scientific understanding of the functional and structural changes in diseased hearts. The ultimate aspiration of our research project is to use theoretical modeling, in combination with new imaging modalities and modern simulation tools, to provide greater insight into cardiac disease and thereby guide the design of new successful treatment strategies.

To achieve our goal, we propose to develop cutting-edge computational tools, including 22 state-of-the-art patient-specific computational models of healthy and diseased human bi-ventricular units, as well as a theoretical and computational framework to predict the remodeling of heart tissues induced by myocardial infarction. Their design and validation will be supported by world class imaging facilities. Here are typical benefits of our research to cardiac medicine. First, our tools will allow us to quantitatively characterize the morphology and mechanics of infarcted areas, as well as predict their evolution in time, thus providing to cardiologists a significant new methodology for the diagnosis of heart patients. Moreover, they will allow us to predict the reinforcement of heart tissues induced by the implantation of biomaterial in and around infarcted areas, thus providing to cardiologists a clear statement to design new therapies.

Relying on unique synergies with leading experts in theoretical and numerical mechanics, as well as life science and medicine, this project will advance knowledge in computational cardiac mechanics, and may establish an entirely new way of thinking in cardiovascular medicine, inspired by predictive, patient-specific, simulation-based interventional planning.'

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VULDE (2015)

Biomarkers and underlying mechanisms of vulnerability to depression

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KANJI HANZI LEARNING (2013)

Cognitive strategies and self-regulation of learning character based scripts as a second language: The learning of kanji and hanzi (Japanese and Chinese characters) by alphabetic first language users

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ATCMENTALHEATH (2014)

A comprehensive approach to “attitudes towards contingency” in liberal-individualistic societies : the case of mental health problems hindering autonomy

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