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Updated: Sep 28, 2025

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Implementing Computational Modeling in Tissue Engineering: Where Disciplines Meet.

Janine N Post1, Sandra Loerakker2, Roeland M H Merks3

  • 1Department of Developmental BioEngineering, TechMed Center, University of Twente, Enschede, The Netherlands.

Tissue Engineering. Part A
|March 29, 2022
PubMed
Summary

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This summary is machine-generated.

Computational models offer powerful tools for Tissue Engineering and Regenerative Medicine (TERM). Integrating these computational approaches with experimental work can significantly advance TERM by optimizing designs and predicting outcomes for engineered tissues.

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Tissue Engineering

Background:

  • Mathematical and computational sciences offer novel methods for designing bioreactors, microfluidic devices, and organ-on-chip systems.
  • These computational tools can optimize culture conditions and predict the long-term behavior of engineered tissues in vivo.
  • The integration of computational models into Tissue Engineering and Regenerative Medicine (TERM) workflows is a growing area.

Purpose of the Study:

  • To introduce the concept of computational models for experimental scientists in TERM with limited computational experience.
  • To demonstrate how computational models can be integrated into interdisciplinary TERM workflows.
  • To highlight the contributions of computational models to understanding TERM processes and advancing the field.
Keywords:
experimental integrationmathematical modelingmodel calibrationmodel validationsignal transduction

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Main Methods:

  • Review of existing computational models and their applications in TERM.
  • Presentation of general concepts and examples relevant to experimental scientists.
  • Discussion of the role of computational models in explaining and predicting experimental results.

Main Results:

  • Computational models provide novel insights into TERM processes.
  • These models aid in the design and optimization of bioreactors, microfluidic devices, and organ-on-chip systems.
  • Models can predict the long-term behavior of engineered tissues in vivo.

Conclusions:

  • Further integration of experimental and computational approaches holds immense potential for advancing TERM.
  • Computational models are crucial for explaining, predicting, and optimizing TERM product and process designs.
  • This review serves as a step towards realizing TERM's goal of providing cures rather than just care.