Welcome to a MedTech West seminar
Multiscale modelling and simulation of the heart: from data integration to prediction of arrhythmic risk
Cardiac arrhythmias are becoming a major healthcare problem in the industrialized world, causing a number of serious disease conditions including stroke and sudden cardiac death. These phenomena are inherently hard to study due to their chaotic and often transient nature. A variety of factors have been implicated as modulators of arrhythmic risk, including structural heterogeneities such as scars and ischemia, as well as spatial variations in the dynamic properties of the cardiac cells. However, the exact mechanisms of arrhythmic initiation vary greatly between clinical cases and are often elusive.
Mathematical modelling and simulation of the heart have emerged as promising tools for increasing our understanding of arrhythmic mechanisms, both in general and in the patient specific case. Cardiac models span over multiple spatial and temporal scales, coupling electrophysiological and mechanical properties at the cellular level (such as ion channel dynamics) to phenomena occurring at the tissue and organ levels (such as cardiac arrhythmias). As a consequence of this, the cardiac modelling approach also provides a common framework for integrating data from a wide variet of sources, including clinical imaging and electrophysiological measurements as well as data from experimental research on isolated cells.
This talk will give a brief overview of the state-of-the art in the field, followed by an account of major challenges involved in its translation into clinical applications. Additionally, recent work performed at FCC on using cardiac modelling and simulation to study arrhythmic risk factors following a heart attack will be presented and discussed.
The seminar will be presented by Mikael Wallman, PhD at Fraunhofer-Chalmers Research Centre for Industrial Mathematics.
|Date: January 9
Time: 11:30-12:15 (-13 incl lunch)
Room: Kammaren, Vita Stråket 12, Sahlgrenska University Hospital
Register using the button below or by sending an email to email@example.com. Please write ”Seminar January 9” in the subject line. Last day for registration is January 7.