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MINI REVIEW article
Front. Bioeng. Biotechnol.
Sec. Organoids and Organ-On-A-Chip
Volume 12 - 2024 |
doi: 10.3389/fbioe.2024.1520795
This article is part of the Research Topic Insights In Organoids and Organ-On-A-Chip 2024: Novel Developments, Current Challenges and Future Perspectives View all 4 articles
In silico modelling of organ-on-a-chip devices: an overview
Provisionally accepted- 1 School of Engineering Mathematics and Technology, University of Bristol, Bristol, United Kingdom
- 2 School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
An organ-on-a-chip (OOAC) is a microscale device designed to mimic the functions and complexity of in vivo human physiology. Different from traditional culture systems, OOACs are capable of replicating the biochemical microenvironment, tissue-tissue interactions, and mechanical dynamics of organs thanks to the precise control offered by microfluidic technology.Diverse OOAC devices specific to different organs have been proposed for experimental research and applications such as disease modelling, personalized medicine and drug screening.Previous studies have demonstrated that the mathematical modelling of OOAC can facilitate the optimization of chips' microenvironments, serving as an essential tool to design and improve microdevices which allow reproducible growth of cell culture, reducing the time and cost of experimental testing. Here, we review recent modelling approaches for various OOAC devices, categorized according to the type of organs. We discuss the opportunities for integrating multiphysics with multicellular computational models to better characterize and predict cell culture dynamics. Additionally, we explore how developing more detailed OOAC models would support a more rapid and effective development of microdevices, and the design of robust protocols to grow and control cell cultures.
Keywords: organ-on-a-chip, Organoids, Computational modelling, mathematical modelling, microfluidic dynamics
Received: 31 Oct 2024; Accepted: 20 Dec 2024.
Copyright: © 2024 Wang, Marucci and Homer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lucia Marucci, School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
Martin Homer, School of Engineering Mathematics and Technology, University of Bristol, Bristol, United Kingdom
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