2013
DOI: 10.1007/978-94-007-6561-0_13
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Computational Modeling of Gastrointestinal Fluid Dynamics

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Cited by 7 publications
(2 citation statements)
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“…Computational modeling of intestinal fluid flow volumes can permit the evaluation of device retention mechanisms in the gut under varying volume conditions. 120,121 Additionally, finite element analysis has been effectively employed to assess the penetration capacity of mechano-adhesive gastroretentive devices, such as theragrippers 90 and kirigami-inspired stents, 122 designed for targeted local delivery of therapeutics. These computational techniques allow for the incorporation of diverse morphological conditions, considering factors like patients' age and the specific section within the small intestine.…”
Section: Complexity Of Intestinal Environmentmentioning
confidence: 99%
“…Computational modeling of intestinal fluid flow volumes can permit the evaluation of device retention mechanisms in the gut under varying volume conditions. 120,121 Additionally, finite element analysis has been effectively employed to assess the penetration capacity of mechano-adhesive gastroretentive devices, such as theragrippers 90 and kirigami-inspired stents, 122 designed for targeted local delivery of therapeutics. These computational techniques allow for the incorporation of diverse morphological conditions, considering factors like patients' age and the specific section within the small intestine.…”
Section: Complexity Of Intestinal Environmentmentioning
confidence: 99%
“…In silico approach is based in computer modelling and aims at producing algorithms or numerical models able to predict the drug effects. They have different level of complexity and include computational fluid dynamics (CFD) 21 , ordinary differential equations (ODEs) 22 , 23 , aged-based modelling (ABM) 24 , 25 , and genome scale modelling (GSM) 26 . For the development of in silico models, it is critical the reliability of input data that are coming from databases, data banks, data mining, data analysis tools, publications, homology models, and other repositories 27 .…”
Section: Translational Potentials and Challenges Of Current Gut Modelsmentioning
confidence: 99%