ReviewBiomicrofluidics2025
Numerical models for organ-on-a-chip: A systematic review and analyses.
Review in Biomicrofluidics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Organs-on-a-chip (OoCs) are considered key tools for life science, medicine, and pharmaceutical research and can provide great insights into pathophysiologies of human organs. However, experimental studies of OoCs are commonly limited by their reliable geometrical design, realistic experimental parameter settings, biosensor measurement positions, and the rarity of cells available for particular diseases. In this paper, a review of 124 research articles published between 2000 and 2024 on OoCs and various numerical models applicable to them have been carried out. This article systematically reviews the development and application of mathematical models for the simulation of various OoCs for organs such as the gut, liver, and heart. The review also covered the evaluation of the accuracies of the momentum transport, mass transfer, and energy transfer in the mathematical models applicable to various OoCs. Analysis of the theoretical and experimental results from the reviewed articles on optimization of the OoC structure and parameter settings have also been carried out. From the review, numerical simulations were found to show great potential for optimizing the OoC structure, help minimize experimental times, provide good prediction of the experimental results, as well as offer insights into the interaction between different OoC types. Overall, this review establishes a theoretical foundation for the future organ-on-a-chip design, beneficial for biological experiments, as well as drug performance analysis.
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Registered trials
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