Organ-on-a-chip: current gaps and future directions

被引:20
|
作者
Candarlioglu, Pelin L. [1 ]
Dal Negro, Gianni [1 ]
Hughes, David [2 ]
Balkwill, Frances [3 ]
Harris, Kate [4 ]
Screen, Hazel [5 ]
Morgan, Hywel [6 ]
David, Rhiannon [7 ]
Beken, Sonja [8 ]
Guenat, Olivier [9 ]
Rowan, Wendy [10 ]
Amour, Augustin [11 ]
机构
[1] GlaxoSmithKline, In Vitro Vivo Translat Complex In Vitro Models, Stevenage SG1 2NY, Herts, England
[2] CN Bio Innovat Ltd, Cambridge, England
[3] Queen Mary Univ London, Barts Canc Inst, London, England
[4] Natl Ctr Replacement Refinement & Reduct Anim Res, London, England
[5] Queen Mary Univ London, Sch Engn & Mat Sci, London, England
[6] Univ Southampton, Elect & Comp Sci, Southampton, Hants, England
[7] AstraZeneca, Clin Pharmacol & Safety Sci, R&D, Cambridge, England
[8] Fed Agcy Med & Hlth Prod, Brussels, Belgium
[9] Univ Bern, ARTORG Ctr, Bern, Switzerland
[10] GlaxoSmithKline, Novel Human Genet Res Unit, Gunnels Wood Rd, Stevenage SG1 2NY, Herts, England
[11] GlaxoSmithKline, Immunol Res Unit, Gunnels Wood Rd, Stevenage SG1 2NY, Herts, England
关键词
DEVICES;
D O I
10.1042/BST20200661
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
As an emerging hot topic of the last decade, Organ on Chip (OoC) is a new technology that is attracting interest from both basic and translational scientists. The Biochemical Society, with its mission of supporting the advancement of science, with addressing grand challenges that have societal impact, has included OoC into their agenda to review the current state of the art, bottlenecks and future directions. This conference brought together representatives of the main stakeholders in the OoC field including academics, end-users, regulators and technology developers to discuss and identify requirements for this new technology to deliver on par with the expectations and the key challenges and gaps that still need to be addressed to achieve robust human-relevant tools, able to positively impact decision making in the pharmaceutical industry and reduce overreliance on poorly predictive animal models.
引用
收藏
页码:665 / 673
页数:9
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