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Other literature type . 2023
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Project deliverable . 2023
License: CC BY
Data sources: Datacite
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Project deliverable . 2023
License: CC BY
Data sources: Datacite
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Roadmap for the adoption of PAT and digital twin technologies in the European Pharmaceutical Industry: Barriers and Opportunities

Authors: Poch, Alexandra; Rodriguez, Laura; Nettleton, David; Mc Nerney, Oonagh;

Roadmap for the adoption of PAT and digital twin technologies in the European Pharmaceutical Industry: Barriers and Opportunities

Abstract

The Roadmap for adoption of PAT and digital twin technologies, which has been conducted as part of the ETERNAL Horizon Europe project under the framework of the work package two which focusses on ‘DIGITALIZATION FOR COMPETITIVE AND SCALABLE METHODS OF PRODUCTION’, and in particular as part of the Task 2.1 which centred on ‘Opportunities and Barriers for Digitalization of the European pharmaceutical industry’. This review is mostly based on the digital technologies for drug development and manufacturing, implemented in the framework of the Industry 4.0 which continue to evolve, such as artificial intelligence and advanced computing. These begin to challenge the traditional approaches, practices, and business models for the manufacturing of pharmaceuticals. The application of digital technologies to the pharmaceutical industries has the potential to significantly increase the agility, the efficiency, the flexibility, as well as the sustainability of the drug manufacturing processes, and the quality of the medicines produced.

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Keywords

Digitalisation, Digital Twins, PAT

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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