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A systematic review of decision-support tools for regenerative medicine

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Title: A systematic review of decision-support tools for regenerative medicine
Authors: Lam, C
Meinert, E
Alturkistani, A
Carter, A
Karp, J
Yang, A
Brindley, D
Zhanfeg, C
Item Type: Journal Article
Abstract: Decisional tools have demonstrated their importance in informing manufacturing and commercial decisions in the monoclonal antibody domain (mAb). Recent approved therapies in regenerative medicine have shown great clinical benefits to patients. This study investigates what are the decisional tools available and what issues and gaps have been raised for their use in regenerative medicine. We systematically searched the literature to identify publications on decision-support tools relevant to tissue engineering, cell and gene therapy, with the aim of identifying gaps for future decisional tool development. Identified papers have addressed key decisions in manufacturing and product development challenges in cell therapies. Our review has identified a limited number of decisional tools. There is ample space for expansion especially with regard to autologous cell therapies, tissue engineering and gene therapies.
Issue Date: 19-Dec-2018
Date of Acceptance: 20-Nov-2018
URI: http://hdl.handle.net/10044/1/66471
DOI: 10.2196/12448
ISSN: 1438-8871
Publisher: JMIR Publications
Start Page: 1
End Page: 18
Journal / Book Title: Journal of Medical Internet Research
Volume: 20
Issue: 12
Copyright Statement: ©Ching Lam, Edward Meinert, Abrar Alturkistani, Alison R Carter, Jeffrey Karp, Aidong Yang, David Brindley, Zhanfeng Cui. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.12.2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
Sponsor/Funder: European Institute of Innovation and Technology
Keywords: Medical Informatics
08 Information and Computing Sciences
11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
Publication Status: Published
Online Publication Date: 2018-11-20
Appears in Collections:Faculty of Medicine
School of Public Health



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