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;
John Shabushnig
2Insight Pharma Consulting, LLC, Marshall, MI;
Lars Aabye-Hansen
3Novo Nordisk, Copenhagen, Denmark;
Matthieu Duvinage
1GSK, Wavres, Belgium;
Christian Eckstein
4MVTec GmbH, München, Germany;
Zheng Li
5Genentech, South San Francisco, CA;
Andrea Sardella
6Stevanato Group, S.p.a., Vicenza, Italy;
Manuel Soto
7Amgen, Juncos, Puerto Rico; and
Jorge Delgado Torres
7Amgen, Juncos, Puerto Rico; and
Brian Turnquist
8BoonLogic, Inc., St Paul, MN

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In This Issue
PDA Journal of Pharmaceutical Science and Technology
Vol. 77, Issue 5
September/October 2023
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
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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