Computational Modeling in Tissue Engineering

1. Front Matter

   Pages i-xi

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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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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.

• Biological Response
• Biological Substitutes
• Bioreactor Design
• Bone Tissue Modeling
• Cartilage Tissue Modeling
• Heart Tissue Modeling
• Liver Tissue Modeling
• Micro-Environmental Signals

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

  Liesbet Geris

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