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Computational Modeling in Tissue Engineering

  • Book
  • © 2013

Overview

Editors:
  1. Liesbet Geris

    1. , Biomechanics Research Unit, University of Liège, Liège 1, Belgium

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  • Applies the principles of engineering and life sciences toward the development of biological substitutes
  • Helps quantifying and optimizing micro-environmental signals to which cells and tissues are exposed
  • Covers multiple applications from the heart and liver to cartilage and bones
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Mechanobiology, Tissue Engineering and Biomaterials (SMTEB, volume 10)

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. In Vivo, In Vitro, In Silico: Computational Tools for Product and Process Design in Tissue Engineering

    • Liesbet Geris
    Pages 1-15

  3. Protein Modelling and Surface Folding by Limiting the Degrees of Freedom

    • Meir Israelowitz, Birgit Weyand, Syed W. H. Rizvi, Christoph Gille, Herbert P. von Schroeder
    Pages 19-45

  4. Adaptive Quasi-Linear Viscoelastic Modeling

    • Ali Nekouzadeh, Guy M. Genin
    Pages 47-83

  5. Computational Modeling of Mass Transport and Its Relation to Cell Behavior in Tissue Engineering Constructs

    • Dennis Lambrechts, Jan Schrooten, Tom Van de Putte, Hans Van Oosterwyck
    Pages 85-105

  6. Computational Methods in the Modeling of Scaffolds for Tissue Engineering

    • Andy L. Olivares, Damien Lacroix
    Pages 107-126

  7. Computational Modeling of Tissue Engineering Scaffolds as Delivery Devices for Mechanical and Mechanically Modulated Signals

    • Min Jae Song, David Dean, Melissa L. Knothe Tate
    Pages 127-143

  8. Modelling the Cryopreservation Process of a Suspension of Cells: The Effect of a Size-Distributed Cell Population

    • Alberto Cincotti, Sarah Fadda
    Pages 145-181

  9. Mesenchymal Stem Cell Heterogeneity and Ageing In Vitro: A Model Approach

    • Jörg Galle, Martin Hoffmann, Axel Krinner
    Pages 183-205

  10. Image-Based Cell Quality Assessment: Modeling of Cell Morphology and Quality for Clinical Cell Therapy

    • Hiroto Sasaki, Fumiko Matsuoka, Wakana Yamamoto, Kenji Kojima, Hiroyuki Honda, Ryuji Kato
    Pages 207-226

  11. Continuum Modelling of In Vitro Tissue Engineering: A Review

    • RD O’Dea, HM Byrne, SL Waters
    Pages 229-266

  12. Multiphysics Computational Modeling in Cartilage Tissue Engineering

    • Manuela Teresa Raimondi, Paola Causin, Matteo Laganà, Paolo Zunino, Riccardo Sacco
    Pages 267-285

  13. Oxygen Transport in Bioreactors for Engineered Vascular Tissues

    • Jason W. Bjork, Anton M. Safonov, Robert T. Tranquillo
    Pages 287-306

  14. Multi-Scale Modelling of Vascular Disease: Abdominal Aortic Aneurysm Evolution

    • Paul N. Watton, Huifeng Huang, Yiannis Ventikos
    Pages 309-339

  15. Computational Mechanobiology in Cartilage and Bone Tissue Engineering: From Cell Phenotype to Tissue Structure

    • Thomas Nagel, Daniel J. Kelly
    Pages 341-377

  16. Mechanobiological Modelling of Angiogenesis: Impact on Tissue Engineering and Bone Regeneration

    • Esther Reina-Romo, Clara Valero, Carlos Borau, Rafael Rey, Etelvina Javierre, María José Gómez-Benito et al.
    Pages 379-404

  17. Mathematical Modelling of Regeneration of a Tissue-Engineered Trachea

    • Greg Lemon, John R. King, Paolo Macchiarini
    Pages 405-439

  18. Back Matter

    Pages 441-442
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Keywords

About this book

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.

Editors and Affiliations

  • , Biomechanics Research Unit, University of Liège, Liège 1, Belgium

    Liesbet Geris

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