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Organ-on-a-chip meets artificial intelligence in drug evaluation

Drug evaluation has always been an important area of research in the pharmaceutical industry. However, animal welfare protection and other shortcomings of traditional drug development models pose obstacles and challenges to drug evaluation. Organ-on-a-chip (OoC) technology, which simulates human org...

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Autores principales: Deng, Shiwen, Li, Caifeng, Cao, Junxian, Cui, Zhao, Du, Jiang, Fu, Zheng, Yang, Hongjun, Chen, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465229/
https://www.ncbi.nlm.nih.gov/pubmed/37649608
http://dx.doi.org/10.7150/thno.87266
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author Deng, Shiwen
Li, Caifeng
Cao, Junxian
Cui, Zhao
Du, Jiang
Fu, Zheng
Yang, Hongjun
Chen, Peng
author_facet Deng, Shiwen
Li, Caifeng
Cao, Junxian
Cui, Zhao
Du, Jiang
Fu, Zheng
Yang, Hongjun
Chen, Peng
author_sort Deng, Shiwen
collection PubMed
description Drug evaluation has always been an important area of research in the pharmaceutical industry. However, animal welfare protection and other shortcomings of traditional drug development models pose obstacles and challenges to drug evaluation. Organ-on-a-chip (OoC) technology, which simulates human organs on a chip of the physiological environment and functionality, and with high fidelity reproduction organ-level of physiology or pathophysiology, exhibits great promise for innovating the drug development pipeline. Meanwhile, the advancement in artificial intelligence (AI) provides more improvements for the design and data processing of OoCs. Here, we review the current progress that has been made to generate OoC platforms, and how human single and multi-OoCs have been used in applications, including drug testing, disease modeling, and personalized medicine. Moreover, we discuss issues facing the field, such as large data processing and reproducibility, and point to the integration of OoCs and AI in data analysis and automation, which is of great benefit in future drug evaluation. Finally, we look forward to the opportunities and challenges faced by the coupling of OoCs and AI. In summary, advancements in OoCs development, and future combinations with AI, will eventually break the current state of drug evaluation.
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spelling pubmed-104652292023-08-30 Organ-on-a-chip meets artificial intelligence in drug evaluation Deng, Shiwen Li, Caifeng Cao, Junxian Cui, Zhao Du, Jiang Fu, Zheng Yang, Hongjun Chen, Peng Theranostics Review Drug evaluation has always been an important area of research in the pharmaceutical industry. However, animal welfare protection and other shortcomings of traditional drug development models pose obstacles and challenges to drug evaluation. Organ-on-a-chip (OoC) technology, which simulates human organs on a chip of the physiological environment and functionality, and with high fidelity reproduction organ-level of physiology or pathophysiology, exhibits great promise for innovating the drug development pipeline. Meanwhile, the advancement in artificial intelligence (AI) provides more improvements for the design and data processing of OoCs. Here, we review the current progress that has been made to generate OoC platforms, and how human single and multi-OoCs have been used in applications, including drug testing, disease modeling, and personalized medicine. Moreover, we discuss issues facing the field, such as large data processing and reproducibility, and point to the integration of OoCs and AI in data analysis and automation, which is of great benefit in future drug evaluation. Finally, we look forward to the opportunities and challenges faced by the coupling of OoCs and AI. In summary, advancements in OoCs development, and future combinations with AI, will eventually break the current state of drug evaluation. Ivyspring International Publisher 2023-08-15 /pmc/articles/PMC10465229/ /pubmed/37649608 http://dx.doi.org/10.7150/thno.87266 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Review
Deng, Shiwen
Li, Caifeng
Cao, Junxian
Cui, Zhao
Du, Jiang
Fu, Zheng
Yang, Hongjun
Chen, Peng
Organ-on-a-chip meets artificial intelligence in drug evaluation
title Organ-on-a-chip meets artificial intelligence in drug evaluation
title_full Organ-on-a-chip meets artificial intelligence in drug evaluation
title_fullStr Organ-on-a-chip meets artificial intelligence in drug evaluation
title_full_unstemmed Organ-on-a-chip meets artificial intelligence in drug evaluation
title_short Organ-on-a-chip meets artificial intelligence in drug evaluation
title_sort organ-on-a-chip meets artificial intelligence in drug evaluation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465229/
https://www.ncbi.nlm.nih.gov/pubmed/37649608
http://dx.doi.org/10.7150/thno.87266
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