Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1785098623613140992 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10465229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dengshiwen organonachipmeetsartificialintelligenceindrugevaluation AT licaifeng organonachipmeetsartificialintelligenceindrugevaluation AT caojunxian organonachipmeetsartificialintelligenceindrugevaluation AT cuizhao organonachipmeetsartificialintelligenceindrugevaluation AT dujiang organonachipmeetsartificialintelligenceindrugevaluation AT fuzheng organonachipmeetsartificialintelligenceindrugevaluation AT yanghongjun organonachipmeetsartificialintelligenceindrugevaluation AT chenpeng organonachipmeetsartificialintelligenceindrugevaluation |