posted on 2016-12-15, 14:33authored byRichard Harrison, Qasim A. Rafiq, Nick Medcalf
Decentralized, or redistributed manufacture, is likely to be the manufacturing approach of choice for some cell- and gene-based therapies, in particular, personalized therapies. Such an approach will ultimately depend on the business model and will take into account the regulatory and supply chain factors. Advances in technology and integration of automated production platforms have demonstrated the potential for decentralized manufacturing, however there is a need to extend the scope of automation across the entire process including the cell isolation, distribution,
tracking, administration, quality management systems and development of automated analytical techniques to facilitate real-time release. For decentralized
manufacture to be successfully integrated for cell and gene therapy production, lessons from other accepted healthcare-associated models of manufacture can provide useful insights and perspectives to make informed decisions. Such models share similar characteristics to decentralized
manufacture in that they are patient-specific and have a limited time-frame for administration. These existing approaches, which have successfully incorporated aspects of automation, can provide a blueprint for success and may expedite the decentralization of patient-specific cell
and gene therapy manufacture.
Funding
This work has received funding from the EPSRC under Grant EPIM017559/1 as part of the project “Cell Microfactories: A Feasibility Study in the Redistributed Manufacture of Cell-Based Therapeutics”. The work has also received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 667932.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Cell & Gene Therapy Insights
Volume
2
Issue
1
Pages
115-120
Citation
HARRISON, R.P., RAFIQ, Q.A. and MEDCALF, N., 2016. Automating decentralized manufacturing of cell and gene therapy products. Cell & Gene Therapy Insights, 2(1), pp. 115-120.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2016-03-21
Copyright date
2016
Notes
This is an Open Access Article. It is published by BioInsights Publishing under the Creative Commons Attribution 4.0 NonCommercial – NoDerivatives Licence (CC BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/