Title :
Dynamical vs. genetic disease: what do complex rhythms reveal about pathophysiology?
Author_Institution :
Dept. of Physiol., McGill Univ., Montreal, Que., Canada
Abstract :
Human disease is often associated with complex dynamical features. This observation suggests various directions for research including collecting data over long times, developing mathematical models for diseases and studying the effects of parameter changes in the models, developing biological models that display complex rhythms mimicking the disease, and developing therapies.
Keywords :
bifurcation; diseases; genetics; nonlinear dynamical systems; physiological models; physiology; bifurcation; biological models; complex rhythms; dynamical disease; genetic disease; mathematical models; nonlinear dynamics; parameter changes; pathophysiology; periodic disease; synchronization; therapy implications; Bioinformatics; Biological system modeling; Control systems; Diseases; Genetics; Genomics; Humans; Medical treatment; Nonlinear control systems; Rhythm;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020503
