A systematic review of decision-support tools for regenerative medicine
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Author(s)
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.
Date Issued
2018-12-19
Date Acceptance
2018-11-20
Citation
Journal of Medical Internet Research, 2018, 20 (12), pp.1-18
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.
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.
License URL
Sponsor
European Institute of Innovation and Technology
Identifier
https://www.jmir.org/2018/12/e12448/
Subjects
Medical Informatics
08 Information and Computing Sciences
11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
Publication Status
Published
Date Publish Online
2018-11-20