DocumentCode :
2464718
Title :
A computational approach to understanding gastrointestinal motility in health and disease
Author :
Poh, Yong Cheng ; Buist, Martin Lindsay
Author_Institution :
National University of Singapore (NUS) Graduate School of Integrative Sciences and Engineering, and the Division of Bioengineering, NUS, Singapore
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
429
Lastpage :
432
Abstract :
Gastrointestinal (GI) motility disorders are not well understood, resulting in patient management that typically controls symptoms. Patients suffer from reduced quality of life and incur large costs from chronic GI disorders. It is imperative to elucidate underlying mechanisms causing GI motility disorders that, in turn, can facilitate development of treatment such as drug therapeutics. To this end, we seek to use multi-scale computational models to better understand GI motility in health and disease. An initial computational framework was established to study genetic perturbation in causing a phenotypical change at the GI tissue level. Computer models describing a couple of genetic perturbations were developed and examined in the multi-scale framework. Preliminary findings suggest alterations to phenotype that may adversely affect GI motility. However, much work remains, given the tissue complexity and uncertainties in our knowledge of the GI organs. A future direction will be to incorporate multi-scale mechanical models in the current framework.
Keywords :
Biological system modeling; Channel models; Computational modeling; Data models; Equations; Markov processes; Mathematical model; Computer Simulation; Gastrointestinal Diseases; Gastrointestinal Motility; Gastrointestinal Tract; Genetic Predisposition to Disease; Humans; Models, Genetic; Polymorphism, Single Nucleotide; Potassium Channels; Sodium Channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090057
Filename :
6090057
Link To Document :
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