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Research ArticleTechnology/Application

Applying Machine Learning to the Visual Inspection of Filled Injectable Drug Products

Romain Veillon, John Shabushnig, Lars Aabye-Hansen, Matthieu Duvinage, Christian Eckstein, Zheng Li, Andrea Sardella, Manuel Soto, Jorge Delgado Torres and Brian Turnquist
PDA Journal of Pharmaceutical Science and Technology September 2023, 77 (5) 376-401; DOI: https://doi.org/10.5731/pdajpst.2022.012796
Romain Veillon
1GSK, Wavres, Belgium;
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John Shabushnig
2Insight Pharma Consulting, LLC, Marshall, MI;
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  • For correspondence: JohnShabushnig@aol.com
Lars Aabye-Hansen
3Novo Nordisk, Copenhagen, Denmark;
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Matthieu Duvinage
1GSK, Wavres, Belgium;
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Christian Eckstein
4MVTec GmbH, München, Germany;
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Zheng Li
5Genentech, South San Francisco, CA;
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Andrea Sardella
6Stevanato Group, S.p.a., Vicenza, Italy;
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Manuel Soto
7Amgen, Juncos, Puerto Rico; and
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Jorge Delgado Torres
7Amgen, Juncos, Puerto Rico; and
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Brian Turnquist
8BoonLogic, Inc., St Paul, MN
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Article Information

vol. 77 no. 5 376-401
DOI 
https://doi.org/10.5731/pdajpst.2022.012796
PubMed 
37321861

Published By 
Parenteral Drug Association (PDA)
Print ISSN 
1079-7440
Online ISSN 
1948-2124
History 
  • Published online October 6, 2023.

Article Versions

  • previous version (June 15, 2023 - 12:15).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© PDA, Inc. 2023

Author Information

  1. Romain Veillon1,
  2. John Shabushnig2,*,
  3. Lars Aabye-Hansen3,
  4. Matthieu Duvinage1,
  5. Christian Eckstein4,
  6. Zheng Li5,
  7. Andrea Sardella6,
  8. Manuel Soto7,
  9. Jorge Delgado Torres7 and
  10. Brian Turnquist8
  1. 1GSK, Wavres, Belgium;
  2. 2Insight Pharma Consulting, LLC, Marshall, MI;
  3. 3Novo Nordisk, Copenhagen, Denmark;
  4. 4MVTec GmbH, München, Germany;
  5. 5Genentech, South San Francisco, CA;
  6. 6Stevanato Group, S.p.a., Vicenza, Italy;
  7. 7Amgen, Juncos, Puerto Rico; and
  8. 8BoonLogic, Inc., St Paul, MN
  1. ↵*Corresponding Author: 15630 17 1/2 Mile Rd, Marshall, MI 49068; Telephone: 1+ 269-277-0012; E-mail: JohnShabushnig{at}aol.com
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PDA Journal of Pharmaceutical Science and Technology: 77 (5)
PDA Journal of Pharmaceutical Science and Technology
Vol. 77, Issue 5
September/October 2023
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Applying Machine Learning to the Visual Inspection of Filled Injectable Drug Products
Romain Veillon, John Shabushnig, Lars Aabye-Hansen, Matthieu Duvinage, Christian Eckstein, Zheng Li, Andrea Sardella, Manuel Soto, Jorge Delgado Torres, Brian Turnquist
PDA Journal of Pharmaceutical Science and Technology Sep 2023, 77 (5) 376-401; DOI: 10.5731/pdajpst.2022.012796

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Applying Machine Learning to the Visual Inspection of Filled Injectable Drug Products
Romain Veillon, John Shabushnig, Lars Aabye-Hansen, Matthieu Duvinage, Christian Eckstein, Zheng Li, Andrea Sardella, Manuel Soto, Jorge Delgado Torres, Brian Turnquist
PDA Journal of Pharmaceutical Science and Technology Sep 2023, 77 (5) 376-401; DOI: 10.5731/pdajpst.2022.012796
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  • Article
    • Abstract
    • Introduction
    • Building a Traditional AVI System
    • Building an AI-Based AVI System
    • Validating an AI-Based AVI System
    • Maintaining an AI-Based AVI System
    • The Future of AI-Based AVI Systems
    • Conclusion
    • Conflict of Interest Declaration
    • Acknowledgements
    • Appendix 1: Glossary
    • References
  • Figures & Data
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  • PDF

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Keywords

  • visual inspection
  • Automated inspection
  • Injectable drug
  • machine learning
  • Deep learning
  • Supervised learning
  • Unsupervised learning
  • Image labeling
  • Neural network
  • Inspection qualification

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