2021
DOI: 10.1002/adbi.202100535
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Integrating Engineering, Automation, and Intelligence to Catalyze the Biomedical Translation of Organoids

Abstract: Organoid technology has developed at an impressive speed during the past decade. Still, organoids are not widely used in practical applications as expected. It is believed that this translation can be greatly accelerated with the integration of engineering and artificial intelligence into current research practices. It is proposed that this approach is the missing link to realize key milestones in organoid technology, namely, high‐throughput, homogeneous, and standardized production, automated manipulation, an… Show more

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Cited by 6 publications
(3 citation statements)
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References 108 publications
(177 reference statements)
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“…For example, we can add functional cells at local locations or create a gradient distribution of solution concentrations 4 . In summary, by combining the natural self-organizing properties of organoids with growth regulation, our system will facilitate the development of the next generation of organoids for manufacturing and accelerate progress in disease modeling, organ transplantation, and drug discovery 39 .…”
Section: Discussionmentioning
confidence: 99%
“…For example, we can add functional cells at local locations or create a gradient distribution of solution concentrations 4 . In summary, by combining the natural self-organizing properties of organoids with growth regulation, our system will facilitate the development of the next generation of organoids for manufacturing and accelerate progress in disease modeling, organ transplantation, and drug discovery 39 .…”
Section: Discussionmentioning
confidence: 99%
“…However, the evaluation of vascular integrity and tumor apoptosis has been limited to animal models, which are costly and lack relevance to human biology. Recently, organ- and organoids-on-chips, , have become increasingly popular because of their amenability for automated generation, standardization, and multiplexed analysis in high-throughput. ,, We chose to develop a vascularized tumor spheroid-on-a-chip model for the performance of these models is comparable with that of animal models, ,, but with the advantages of lower cost, scalability and higher reproducibility. However, we noticed that the models reported in the literature studies used vascular network monolayers; we therefore improved on previous designs by including a thicker (700 μm) vascular bed, which more closely resembles human physiology.…”
Section: Discussionmentioning
confidence: 99%
“…Although the most of current applications focus on post-experimental data analysis, DL has increasing potential for designing microfluidic systems and controlling systems during experiments 60 . Microfluidics represents an excellent platform for supporting automation and intelligent control of reaction conditions 242 . In the preparation phase of a project, DL can be employed for devices design and materials selection to make OoCs more suitable for specific applications 19 .…”
Section: Integration Ooc Technology With Artificial Intelligencementioning
confidence: 99%