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Park, Tae-Eun
Microtissue Engineering & Nanomedicine Lab
Research Interests
  • Drug delivery, Drug development, Tissue Engineering, Organ-on-a-chip, Stem Cell Engineering, Cell Biology, 3D printing for tissue engineering, Neurobiology, Nano Biotechnology

Integrated technologies for continuous monitoring of organs-on-chips: Current challenges and potential solutions

DC Field Value Language Sabaté del Río, Jonathan ko Ro, Jooyoung ko Yoon, Heejeong ko Park, Tae-Eun ko Cho, Yoon-Kyoung ko 2023-01-06T02:21:39Z - 2023-01-05 ko 2023-03 ko
dc.identifier.citation BIOSENSORS & BIOELECTRONICS, v.224, pp.115057 ko
dc.identifier.issn 0956-5663 ko
dc.identifier.uri -
dc.description.abstract Organs-on-chips (OoCs) are biomimetic in vitro systems based on microfluidic cell cultures that recapitulate the in vivo physicochemical microenvironments and the physiologies and key functional units of specific human organs. These systems are versatile and can be customized to investigate organ-specific physiology, pathology, or pharmacology. They are more physiologically relevant than traditional two-dimensional cultures, can potentially replace the animal models or reduce the use of these models, and represent a unique opportunity for the development of personalized medicine when combined with human induced pluripotent stem cells. Continuous monitoring of important quality parameters of OoCs via a label-free, non-destructive, reliable, high-throughput, and multiplex method is critical for assessing the conditions of these systems and generating relevant analytical data; moreover, elaboration of quality predictive models is required for clinical trials of OoCs. Presently, these analytical data are obtained by manual or automatic sampling and analyzed using single-point, off-chip traditional methods. In this review, we describe recent efforts to integrate biosensing technologies into OoCs for monitoring the physiologies, functions, and physicochemical microenvironments of OoCs. Furthermore, we present potential alternative solutions to current challenges and future directions for the application of artificial intelligence in the development of OoCs and cyber-physical systems. These “smart” OoCs can learn and make autonomous decisions for process optimization, self-regulation, and data analysis. ko
dc.language 영어 ko
dc.publisher Pergamon Press Ltd. ko
dc.title Integrated technologies for continuous monitoring of organs-on-chips: Current challenges and potential solutions ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-85146049382 ko
dc.identifier.wosid 000925116700001 ko
dc.type.rims ART ko
dc.identifier.doi 10.1016/j.bios.2022.115057 ko
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