Imperial College London
Alternate

Professor Nilay Shah OBE FREng

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6621n.shah

 
 
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Assistant

 

Miss Jessica Baldock +44 (0)20 7594 5699

 
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Location

 

ACEX 522ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sarkis:2021:10.1016/j.coche.2021.100689,
author = {Sarkis, M and Bernardi, A and Shah, N and Papathanasiou, MM},
doi = {10.1016/j.coche.2021.100689},
journal = {Current Opinion in Chemical Engineering},
pages = {100689--100689},
title = {Decision support tools for next-generation vaccines and advanced therapy medicinal products: present and future},
url = {http://dx.doi.org/10.1016/j.coche.2021.100689},
volume = {32},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Sarkis,M
AU  - Bernardi,A
AU  - Shah,N
AU  - Papathanasiou,MM
DO  - 10.1016/j.coche.2021.100689
EP  - 100689
PY  - 2021///
SN  - 2211-3398
SP  - 100689
TI  - Decision support tools for next-generation vaccines and advanced therapy medicinal products: present and future
T2  - Current Opinion in Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.coche.2021.100689
UR  - https://www.sciencedirect.com/science/article/pii/S2211339821000216?via%3Dihub
UR  - http://hdl.handle.net/10044/1/92683
VL  - 32
ER  -
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