Quality by digital design to accelerate sustainable medicines development

Chantal L. Mustoe, Alice J. Turner, Stephanie J. Urwin, Ian Houson, Helen Feilden, Daniel Markl, Mohammed M. Al Qaraghuli, Magdalene W.S. Chong, Murray Robertson, Alison Nordon, Blair F. Johnston, Cameron J. Brown, John Robertson, Claire Adjiman, Hannah Batchelor, Brahim Benyahia, Massimo Bresciani, Christopher L. Burcham, Javier Cardona, Ciro CottiniAndrew S. Dunn, David Fradet, Gavin W. Halbert, Mark Henson, Pirmin Hidber, Marianne Langston, Ye Seol Lee, Wei Li, Jérôme Mantanus, John McGinty, Bhavik Mehta, Tabbasum Naz, Sara Ottoboni, Elke Prasad, Per-Ola Quist, Gavin K. Reynolds, Chris Rielly, Martin Rowland, Walkiria Schlindwein, Sven L.M. Schroeder, Jan Sefcik, Ettore Settanni, Humera Siddique, Kenneth Smith, Rachel Smith, Jagjit Singh Srai, Alpana A. Thorat, Antony Vassileiou, Alastair J. Florence*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We present a shared industry-academic perspective on the principles and opportunities for Quality by Digital Design (QbDD) as a framework to accelerate medicines development and enable regulatory innovation for new medicines approvals. This approach exploits emerging capabilities in industrial digital technologies to achieve robust control strategies assuring product quality and patient safety whilst reducing development time/costs, improving research and development efficiency, embedding sustainability into new products and processes, and promoting supply chain resilience. Key QbDD drivers include the opportunity for new scientific understanding and advanced simulation and model-driven, automated experimental approaches. QbDD accelerates the identification and exploration of more robust design spaces. Opportunities to optimise multiple objectives emerge in route selection, manufacturability and sustainability whilst assuring product quality. Challenges to QbDD adoption include siloed data and information sources across development stages, gaps in predictive capabilities, and the current extensive reliance on empirical knowledge and judgement. These challenges can be addressed via QbDD workflows; model-driven experimental design to collect and structure findable, accessible, interoperable and reusable (FAIR) data; and chemistry, manufacturing and control ontologies for shareable and reusable knowledge. Additionally, improved product, process, and performance predictive tools must be developed and exploited to provide a holistic end-to-end development approach.
Original languageEnglish
Article number125625
JournalInternational Journal of Pharmaceutics
Early online date24 Apr 2025
DOIs
Publication statusE-pub ahead of print - 24 Apr 2025

Funding

This work was supported by the EPSRC Future Continuous Manufacturing and Advanced Crystallisation Research Hub (grant ref: EP/P006965/1) with contributions from Digital Medicines Manufacturing (DM2) Research Centre co-funded by the Made Smarter Innovation challenge at UK Research and Innovation (grant ref: EP/V062077/1), GIBio (Gastrointestinal bioreactor to evaluate ingestible medicines and inform formulation and manufacture) (grant ref: EP/W036452/1), a Knowledge Transfer Partnership with Siemens Industry Software Limited (partnership number: 11937) and the CMAC National Facility.

Keywords

  • pharmaceutical development
  • sustainable medicine developments
  • digital design

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