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A systematic review of decision-support tools for regenerative medicine
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 |
This item is licensed under a Creative Commons License