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Image-based High-resolution In-silico Modeling of Total Cardiac Function

Objective

Advances in medical imaging have enabled unprecedented ability to image
cardiac anatomy and function. So far these technologies have had relatively
modest clinical impact as the analysis of such rich multi-modal
datasets has proven challenging.
In silico models hold vast potential to better harness such datasets
by enabling their integration into quantitative frameworks that can aid
in gaining better mechanistic insight into cardiac function in health and disease,
and thus paving the way towards optimal therapeutic strategies.

Our objective is to develop the most advanced biophysically detailed
in-silico model of total electro-mechano-fluidic function of the heart.
This model will be parametrized, verified and used to study cause-effect
relationships between flow and pressure and their impact upon pumping performance.
A novel set of features such as combined models of both heart and attached
outflow vessels and the computational efficiency will provide a unique
platform for translational research.

This ambitious endeavor is feasible only by combining the expertise
of the applicant in modeling soft tissue mechanics and his supervisors
in modeling electrophysiology (Gernot Plank, MUG) and blood flow
(Shawn Shadden, UC Berkeley).
Clinical input and datasets for model parametrization and validation
are provided by Titus Kühne (DHZ Berlin) and by clinical
collaborators of Prof. Shadden at UCSF.
During the return-phase, the applicant will use the infrastructure
of Prof. Plank’s lab and the large network of academic and industrial
collaborations as an incubator for building up his own research group
in computational hemodynamics. This is ideal in many regards,
as the expertise of the applicant's group will be entirely orthogonal
to the expertise in Prof. Plank's lab, thus promoting a fast pathway
towards full indepence, and core expertise necessary
for further developing and maintaining a highly complex computing
environment is synergistically shared between the labs.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF-GF - Global Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2016

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Coordinator

MEDIZINISCHE UNIVERSITAT GRAZ
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 218 176,20
Address
NEUE STIFTINGTALSTRASSE 6
8010 GRAZ
Austria

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Region
Südösterreich Steiermark Graz
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 218 176,20

Partners (1)

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