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Decision support tools for next-generation vaccines and advanced therapy medicinal products: present and future

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