Opendata, web and dolomites


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

Total Cost €


EC-Contrib. €






 InsiliCardio project word cloud

Explore the words cloud of the InsiliCardio project. It provides you a very rough idea of what is the project "InsiliCardio" about.

synergistically    hne    feasible    performance    orthogonal    lab    incubator    vast    mechano    pressure    frameworks    electrophysiology    advances    academic    paving    integration    model    anatomy    hold    technologies    shadden    total    maintaining    health    computing    biophysically    plank    mechanics    fast    aid    datasets    function    building    disease    translational    shared    entirely    validation    gernot    berkeley    strategies    platform    flow    medical    supervisors    network    industrial    infrastructure    dhz    therapeutic    combined    efficiency    expertise    combining    models    imaging    hemodynamics    environment    had    outflow    relatively    return    image    enabled    electro    proven    blood    clinical    attached    shawn    soft    uc    prof    cardiac    vessels    titus    optimal    gaining    berlin    group    mechanistic    collaborators    tissue    computational    effect    verified    fluidic    parametrized    silico    endeavor    parametrization    ucsf    uuml    relationships    harness    modeling    input       mug    regards    labs    heart    quantitative    unprecedented    collaborations    full    indepence    core    pumping    modal    modest    ideal   

Project "InsiliCardio" data sheet

The following table provides information about the project.


Organization address
city: GRAZ
postcode: 8036

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Project website
 Total cost 218˙176 €
 EC max contribution 218˙176 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-GF
 Starting year 2017
 Duration (year-month-day) from 2017-03-01   to  2019-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MEDIZINISCHE UNIVERSITAT GRAZ AT (GRAZ) coordinator 218˙176.00


 Project 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.


year authors and title journal last update
List of publications.
2020 Marina Strocchi, Matthias A.F. Gsell, Christoph M. Augustin, Orod Razeghi, Caroline H. Roney, Anton J. Prassl, Edward J. Vigmond, Jonathan M. Behar, Justin S. Gould, Christopher A. Rinaldi, Martin J. Bishop, Gernot Plank, Steven A. Niederer
Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium
published pages: 109645, ISSN: 0021-9290, DOI: 10.1016/j.jbiomech.2020.109645
Journal of Biomechanics 2020-04-02
2020 Justyna A. Niestrawska, Christoph M. Augustin, Gernot Plank
Computational Modeling of Cardiac Growth and Remodeling in Pressure Overloaded Hearts — Linking Microstructure to Organ Phenotype
published pages: , ISSN: 1742-7061, DOI: 10.1016/j.actbio.2020.02.010
Acta Biomaterialia 2020-04-02
2018 Anita Emmerstorfer-Augustin, Christoph M. Augustin, Shadi Shams, Jeremy Thorner
Tracking yeast pheromone receptor Ste2 endocytosis using fluorogen-activating protein tagging
published pages: 2720-2736, ISSN: 1059-1524, DOI: 10.1091/mbc.E18-07-0424
Molecular Biology of the Cell 29/22 2020-04-02
2019 Christoph M. Augustin, Thomas E. Fastl, Aurel Neic, Chiara Bellini, John Whitaker, Ronak Rajani, Mark D. O’Neill, Martin J. Bishop, Gernot Plank, Steven A. Niederer
The impact of wall thickness and curvature on wall stress in patient-specific electromechanical models of the left atrium
published pages: , ISSN: 1617-7959, DOI: 10.1007/s10237-019-01268-5
Biomechanics and Modeling in Mechanobiology 2020-04-02
2019 Elias Karabelas, Gundolf Haase, Gernot Plank, Christoph M. Augustin
Versatile stabilized finite element formulations for nearly and fully incompressible solid mechanics
published pages: , ISSN: 0178-7675, DOI: 10.1007/s00466-019-01760-w
Computational Mechanics 2020-04-02
2018 Anita Emmerstorfer-Augustin, Christoph M. Augustin, Shadi Shams, Jeremy Thorner
Tracking yeast pheromone receptor Ste2 endocytosis using fluorogen-activating protein tagging
published pages: 2720-2736, ISSN: 1059-1524, DOI: 10.1091/mbc.e18-07-0424
Molecular Biology of the Cell 29/22 2020-04-02
2018 Matthias A. F. Gsell, Christoph M. Augustin, Anton J. Prassl, Elias Karabelas, Joao F. Fernandes, Marcus Kelm, Leonid Goubergrits, Titus Kuehne, Gernot Plank
Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis
published pages: e3147, ISSN: 2040-7939, DOI: 10.1002/cnm.3147
International Journal for Numerical Methods in Biomedical Engineering 34/12 2020-04-02
2018 Elias Karabelas, Matthias A. F. Gsell, Christoph M. Augustin, Laura Marx, Aurel Neic, Anton J. Prassl, Leonid Goubergrits, Titus Kuehne, Gernot Plank
Towards a Computational Framework for Modeling the Impact of Aortic Coarctations Upon Left Ventricular Load
published pages: , ISSN: 1664-042X, DOI: 10.3389/fphys.2018.00538
Frontiers in Physiology 9 2020-04-02
2018 Kristin L. Leskoske, Françoise M. Roelants, Anita Emmerstorfer-Augustin, Christoph M. Augustin, Edward P. Si, Jennifer M. Hill, Jeremy Thorner
Phosphorylation by the stress-activated MAPK Slt2 down-regulates the yeast TOR complex 2
published pages: 1576-1590, ISSN: 0890-9369, DOI: 10.1101/gad.318709.118
Genes & Development 32/23-24 2020-04-02

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "INSILICARDIO" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "INSILICARDIO" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

LearningEmotions (2020)

Emotion Recognition: A Statistical Learning Approach

Read More  


Limit sets of discrete dynamical systems

Read More  

NeuroTick (2019)

The neuroscience of tickling: cerebellar mechanisms and sensory prediction

Read More