Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:A2L-D
Session:
Number:A2L-D2
Computational Methods for Exploring the Dynamics of Cancer: The Potential of State Variables for Description of Complex Biological Systems
Stephan Scheidegger, Hans U. Fuchs, Rudolf M. Fuchslin,
pp.168-171
Publication Date:2014/9/14
Online ISSN:2188-5079
Summary:
Observing dynamic patterns in silico and comparing them to experimental data in vitro or in vivo could help us identify and quantify dynamic processes. Since modellers are faced with a high degree of complexity of biological systems, appropriate concepts of system descriptions are needed. The use of state variables is expected to make models applicable to a wider range of the dynamics of biological systems. This is demonstrated by the Multi-Hit-Repair (MHR-) model which is based on a transient dose equivalent. The model calculates the survival of cells irradiated by ionizing radiation and it describes correctly a large variety of radio-biological observations. In addition, the MHR-model is bridging the gap between processes at the molecular or cellular level and tissue dynamics.