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Decision support tools for next-generation vaccines and advanced therapy medicinal products: present and future
File | Description | Size | Format | |
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Decision support tools in Advanced Therapy Medicinal Product development, manufacturing and distribution_final.docx | Accepted version | 154.52 kB | Microsoft Word | View/Open |
Title: | Decision support tools for next-generation vaccines and advanced therapy medicinal products: present and future |
Authors: | Sarkis, M Bernardi, A Shah, N Papathanasiou, MM |
Item Type: | Journal Article |
Abstract: | Advanced Therapy Medicinal Products (ATMPs) are a novel class of biological therapeutics that utilise ground-breaking clinical interventions to prevent and treat life-threatening diseases. At the same time, viral vector-based and RNA-based platforms introduce a new generation of vaccine manufacturing processes. Their clinical success has led to an unprecedented rise in the demand that, for ATMPs, leads to a predicted market size of USD 9.6 billion by 2026. This paper discusses how mathematical models can serve as tools to assist decision-making in development, manufacturing and distribution of these new product classes. Recent contributions in the space of process, techno-economic and supply chain modelling are highlighted. Lastly, we present and discuss how Process Systems Engineering can be further advanced to support commercialisation of advanced therapeutics and vaccines. |
Issue Date: | Jun-2021 |
Date of Acceptance: | 1-May-2021 |
URI: | http://hdl.handle.net/10044/1/92683 |
DOI: | 10.1016/j.coche.2021.100689 |
ISSN: | 2211-3398 |
Publisher: | Elsevier BV |
Start Page: | 100689 |
End Page: | 100689 |
Journal / Book Title: | Current Opinion in Chemical Engineering |
Volume: | 32 |
Copyright Statement: | © Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Sponsor/Funder: | Engineering & Physical Science Research Council (E |
Funder's Grant Number: | EP/P006485/1 - 000029212 |
Keywords: | 0904 Chemical Engineering |
Publication Status: | Published |
Article Number: | 100689 |
Online Publication Date: | 2021-05-27 |
Appears in Collections: | Chemical Engineering Faculty of Engineering |