Computational Modeling in Tissue Engineering (Record no. 51581)

000 -LEADER
fixed length control field 05173nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-642-32563-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220216.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121030s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642325632
-- 978-3-642-32563-2
082 04 - CLASSIFICATION NUMBER
Call Number 610.28
245 10 - TITLE STATEMENT
Title Computational Modeling in Tissue Engineering
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 444 p.
490 1# - SERIES STATEMENT
Series statement Studies in Mechanobiology, Tissue Engineering and Biomaterials,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 In vivo, in vitro, in silico:  computational tools for product and process design in tissue engineering -- Protein modeling and surface folding by limiting the degrees of freedom -- Adaptive Quasi-linear Viscoelastic Modeling -- Computational modeling of mass transport and its relation to cell behavior in tissue engineering constructs -- Computational Methods in the Modeling of Scaffolds for Tissue Engineering -- Computational Modeling of Tissue Engineering Scaffolds as Delivery Devices for Mechanical and Mechanically Modulated Signals -- Modeling the cryopreservation process of a suspension of cells: the effect of a sizedistributed cell population -- Mesenchymal Stem Cell Heterogeneity and Ageing in vitro - a Model Approach.-  Image-based cell quality assessment: Modeling of cell morphology and quality for clinical cell therapy -- Continuum modelling of in vitro tissue engineering: a review -- Multiphysics Computational Modeling in Cartilage Tissue Engineering -- Oxygen Transport in Bioreactors for Engineered Vascular Tissues -- Multi-scale Modelling of Vascular Disease: Abdominal Aortic Aneurysm Evolution -- Computational Mechanobiology in Cartilage and Bone Tissue Engineering: From Cell Phenotype to Tissue Structure -- Mechanobiological modelling of angiogenesis impact on tissue engineering and bone regeneration -- Mathematical modeling of regeneration of a tissue-engineered trachea.
520 ## - SUMMARY, ETC.
Summary, etc One of the major challenges in tissue engineering is the translation of biological knowledge on complex cell and tissue behavior into a predictive and robust engineering process. Mastering this complexity is an essential step towards clinical applications of tissue engineering. This volume discusses computational modeling tools that allow studying the biological complexity in a more quantitative way. More specifically, computational tools can help in:  (i) quantifying and optimizing the tissue engineering product, e.g. by adapting scaffold design to optimize micro-environmental signals or by adapting selection criteria to improve homogeneity of the selected cell population; (ii) quantifying and optimizing the tissue engineering process, e.g. by adapting bioreactor design to improve quality and quantity of the final product; and (iii) assessing the influence of the in vivo environment on the behavior of the tissue engineering product, e.g. by investigating vascular ingrowth. The book presents examples of each of the above mentioned areas of computational modeling.  The underlying tissue engineering applications will vary from blood vessels over trachea to cartilage and bone.  For the chapters describing examples of the first two areas, the main focus is on (the optimization of) mechanical signals, mass transport and fluid flow encountered by the cells in scaffolds and bioreactors as well as on the optimization of the cell population itself.  In the chapters describing modeling contributions in the third area, the focus will shift towards the biology, the complex interactions between biology and the micro-environmental signals and the ways in which modeling might be able to assist in investigating and mastering this complexity. The chapters cover issues related to (multiscale/multiphysics) model building, training and validation, but also discuss recent advances in scientific computing techniques that are needed to implement these models as well as new tools that can be used to experimentally validate the computational results.
700 1# - AUTHOR 2
Author 2 Geris, Liesbet.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-32563-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biophysics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biological physics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomaterials.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biophysics and Biological Physics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomaterials.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1868-2006 ;
912 ## -
-- ZDB-2-ENG

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