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3D Bioprinting of In Vitro Models Using Hydrogel-Based Bioinks.
Choi, Yeong-Jin; Park, Honghyun; Ha, Dong-Heon; Yun, Hui-Suk; Yi, Hee-Gyeong; Lee, Hyungseok.
  • Choi YJ; Department of Advanced Biomaterials Research, Korea Institute of Materials Science (KIMS), 797, Changwon 51508, Korea.
  • Park H; Department of Advanced Biomaterials Research, Korea Institute of Materials Science (KIMS), 797, Changwon 51508, Korea.
  • Ha DH; EDmicBio Inc., Seoul 02445, Korea.
  • Yun HS; Department of Advanced Biomaterials Research, Korea Institute of Materials Science (KIMS), 797, Changwon 51508, Korea.
  • Yi HG; Department of Rural and Biosystems Engineering, College of Agriculture and Life Sciences, Chonnam National University (CNU), Gwangju 61186, Korea.
  • Lee H; Department of Mechanical and Biomedical Engineering, Kangwon National University (KNU), Chuncheon 24341, Korea.
Polymers (Basel) ; 13(3)2021 Jan 24.
Article in English | MEDLINE | ID: covidwho-1045380
ABSTRACT
Coronavirus disease 2019 (COVID-19), which has recently emerged as a global pandemic, has caused a serious economic crisis due to the social disconnection and physical distancing in human society. To rapidly respond to the emergence of new diseases, a reliable in vitro model needs to be established expeditiously for the identification of appropriate therapeutic agents. Such models can be of great help in validating the pathological behavior of pathogens and therapeutic agents. Recently, in vitro models representing human organs and tissues and biological functions have been developed based on high-precision 3D bioprinting. In this paper, we delineate an in-depth assessment of the recently developed 3D bioprinting technology and bioinks. In particular, we discuss the latest achievements and future aspects of the use of 3D bioprinting for in vitro modeling.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2021 Document Type: Article