Implementing Computational Modeling in Tissue Engineering: Where Disciplines Meet

Janine N. Post, Sandra Loerakker, Roeland M.H. Merks, Aurélie Carlier*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

10 Citations (Scopus)
43 Downloads (Pure)

Abstract

In recent years, the mathematical and computational sciences have developed novel methodologies and insights that can aid in designing advanced bioreactors, microfluidic setups or organ-on-chip devices, in optimizing culture conditions, or predicting long-term behavior of engineered tissues in vivo. In this review, we introduce the concept of computational models and how they can be integrated in an interdisciplinary workflow for Tissue Engineering and Regenerative Medicine (TERM). We specifically aim this review of general concepts and examples at experimental scientists with little or no computational modeling experience. We also describe the contribution of computational models in understanding TERM processes and in advancing the TERM field by providing novel insights. Although in recent years the use of mathematical and computational sciences has increased in the Tissue Engineering and Regenerative Medicine (TERM) field, we believe that a further integration of experimental and computational approaches has a huge potential for advancing the field due to the ability of models to explain and predict experimental results and efficiently optimize TERM product and process designs. By providing an overview of existing computational models, how they have contributed to the field, as well as a future perspective, this review represents an important step to help realize TERM's ultimate goal: a cure instead of care.

Original languageEnglish
Pages (from-to)542-554
Number of pages13
JournalTissue Engineering - Part A
Volume28
Issue number11-12
Early online date29 Mar 2022
DOIs
Publication statusPublished - 16 Jun 2022

Keywords

  • experimental integration
  • mathematical modeling
  • model calibration
  • model validation
  • signal transduction
  • 22/4 OA procedure

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