Mission Statement

28.-31.October 2009


Bildungshaus Mariatrost, Graz, Austria


Biophysically detailed computer models of the heart are widely recognized now as a powerful systems biology approach to provide a mechanistic link between various experimental observations across multiple size scales, from subcellular processes up to the entire organ. The wealth of available experimental data and the complexity of their relationship impede to draw direct conclusion from data by pure reasoning. Mathematical descriptions of the observed phenomena and their mechanistic evaluation by means of computer models are the key to gain insights into the functional aspects of a complex system such as the heart.

Although there are various efforts undertaken already which aim at turning computer modeling into a clinically relevant decision support modality, very basic biophysical, mathematical and numerical aspects of the equations describing cardiac electro-mechanics remain poorly understood. While more and more detail has been added over the years to account for a wider range of experimental observations, the mathematical framework as well as the solver techniques remained almost unchanged. Current trends in modeling application are moving towards increasingly more complex modeling in terms of functional and structural representation of the heart. Increasingly longer observation periods as well as multiphysics aspects are being considered. It is evident that in-silico modeling techniques which may even be used to support clinical decisions, all methodological details have to be fully understood to provide a solid base for reliable, efficient and predictive computer modeling.

The workshop aims at discussing applications of modelling approaches for studying the bioelectric and mechanic activity of the heart as well as applying optimal control theory to the cardiac bidomain problem. Further, current state-of-the-art and planned future electrophysiological and mechanical applications will be presented to motivate the need for developing more advanced methodology capable of dealing with these new challenges in an efficient, robust and reliable manner, taking maximum advantage of not yet available PetaFLOPS computing hardware and state-of-the-art mathematical and numerical techniques.