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OtherTechnology/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 June 2023, pdajpst.2022.012796; DOI: https://doi.org/10.5731/pdajpst.2022.012796
Romain Veillon
1 GSK;
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  • For correspondence: romain.veillon@gsk.com
John Shabushnig
2 Insight Pharma Consulting, LLC;
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  • For correspondence: johnshabushnig@aol.com
Lars Aabye-Hansen
3 novo nordisk;
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  • For correspondence: laah@novonordisk.com
Matthieu Duvinage
1 GSK;
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  • For correspondence: matthieu.x.duvinage@gsk.com
Christian Eckstein
4 mvtec;
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Zheng Li
5 Genentech;
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  • For correspondence: li.zheng@gene.com
Andrea Sardella
6 Stevanato Group;
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  • For correspondence: andrea.sardella@stevanatogroup.com
Manuel Soto
7 Amgen;
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Jorge Delgado Torres
7 Amgen;
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Brian Turnquist
8 boon logic
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  • For correspondence: bturnquist@boonlogic.com
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Article Information

pdajpst.2022.012796
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 
  • Received September 10, 2022
  • Accepted June 7, 2023
  • Published online June 15, 2023.

Article Versions

  • You are currently viewing a previous version of this article (June 15, 2023 - 12:15).
  • View the most recent version of this article
Copyright & Usage 
Copyright © 2023, Parenteral Drug Association

Author Information

  1. Romain Veillon1 (romain.veillon{at}gsk.com),
  2. John Shabushnig2,9 (johnshabushnig{at}aol.com),
  3. Lars Aabye-Hansen3 (laah{at}novonordisk.com),
  4. Matthieu Duvinage1 (matthieu.x.duvinage{at}gsk.com),
  5. Christian Eckstein4 (christian.eckstein{at}mvtec.com),
  6. Zheng Li5 (li.zheng{at}gene.com),
  7. Andrea Sardella6 (andrea.sardella{at}stevanatogroup.com),
  8. Manuel Soto7,
  9. Jorge Delgado Torres7 and
  10. Brian Turnquist8 (bturnquist{at}boonlogic.com)
  1. 1 GSK;
  2. 2 Insight Pharma Consulting, LLC;
  3. 3 novo nordisk;
  4. 4 mvtec;
  5. 5 Genentech;
  6. 6 Stevanato Group;
  7. 7 Amgen;
  8. 8 boon logic
  1. ↵* Corresponding author; email: johnshabushnig{at}aol.com

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PDA Journal of Pharmaceutical Science and Technology: 79 (1)
PDA Journal of Pharmaceutical Science and Technology
Vol. 79, Issue 1
January/February 2025
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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 Jun 2023, pdajpst.2022.012796; 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 Jun 2023, pdajpst.2022.012796; DOI: 10.5731/pdajpst.2022.012796
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Keywords

  • Automated inspection
  • Deep learning
  • Injectable drug
  • machine learning
  • Supervised learning
  • Visual Inspection, Unsupervised Learning Image Labelling Neural Network, Inspection Qualification

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