Computational Modeling in Tissue Engineering
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In vitro tissue engineering is a method for developing living and functional tissues external to the body, often within a device called a bioreactor to control the chemical and mechanical environment. However, the quality of bone tissue engineered products is currently inadequate for clinical use as the implant cannot bear weight.
In an effort to improve the quality of the construct, hydrostatic pressure, the pressure in a fluid at equilibrium that is required to balance the forc Queue ["Typeset",MathJax. If you are the owner of this record, you can report an update to it here: Report update to this record. We require your email address in order to let you know the outcome of your enquiry. Your Email Please enter the email address that the record information will be sent to.
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Mathematical and computational modelling of tissue engineered bone in a hydrostatic bioreactor PhD thesis. Abstract This article deals with computational modeling of tissue growth under interstitial perfusion inside a polymeric scaffold-based bioreactor.
The mathematical model is the result of the application of the volume averaging technique to the fluid, nutrient and cellular subsystems, and is capable to account for the temporal evolution of local matrix porosity, as the sum of a time-invariant component the porosity of the uncellularized polymer scaffold and a time-dependent component due to the growing biomass. The solution algorithm is based on a block Gauss-Seidel iteration procedure that allows to reduce each time level of the simulated culture period into the successive solution of linearized subproblems, whose numerical approximation is carried out using stable and convergent finite elements.
Numerical simulations are carried out to investigate the role of the design porosity of the scaffold on nutrient delivery and biomass production. Remember me. Pre-Order Expected Release date: October 1, Sorry, this product is currently out of stock.
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Presents recent advances at the crossroads of biomedical engineering and bioinformatics, one of the hottest areas in biomedical and clinical research Discusses a wide range of leading-edge research topics, including biomechanics and bioimaging, biomedical decision support systems, data mining, personalized diagnoses, bio-signal processing, protein structure prediction, tissue and cell engineering, amongst others Includes coverage of biomechanical, bioengineering and computational methods of treatment and diagnosis.
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