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Recommendations for Artificial Intelligence Application in Continued Process Verification

Mario Stassen, Catarina S. Leitao, Toni Manzano, Francisco Valero, Benjamin Stevens, Matt Schmucki, David Hubmayr, Ferran Mirabent Rubinat, Sandrine Dessoy and Antonio R Moreira
PDA Journal of Pharmaceutical Science and Technology December 2024, pdajpst.2024.012950; DOI: https://doi.org/10.5731/pdajpst.2024.012950
Mario Stassen
1 Stassen Pharmaconsult BV;
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Catarina S. Leitao
2 Valgenesis;
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  • For correspondence: catarina.leitao@valgenesis.com
Toni Manzano
3 Aizon;
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  • For correspondence: tonimanzano1@gmail.com
Francisco Valero
4 Universitat Autonoma de Barcelona;
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Benjamin Stevens
5 GSK;
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Matt Schmucki
6 AFDO/RAPS;
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David Hubmayr
7 Takeda;
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Ferran Mirabent Rubinat
3 Aizon;
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Sandrine Dessoy
5 GSK;
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Antonio R Moreira
8 University of Maryland Baltimore County
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  • For correspondence: moreira@umbc.edu
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Abstract

This review paper explores the transformative impact of Artificial Intelligence (AI) on Continued Process Verification (CPV) in the biopharmaceutical industry. Originating from the CPV of the Future project, the study investigates the challenges and opportunities associated with integrating AI into CPV, focusing on real-time data analysis and proactive process adjustments. The paper highlights the importance of aligning AI solutions with regulatory standards and offers a set of comprehensive recommendations to bridge the gap between AI's potential and its practical, compliant, and safe application in pharmaceutical manufacturing. Emphasizing transparency, interpretability, and risk management, the research contributes to establishing best practices for AI implementation, ensuring the highest quality pharmaceutical products while meeting regulatory expectations. The conclusions drawn provide valuable insights for navigating the evolving landscape of AI in pharmaceutical manufacturing.

  • AI
  • Artificial Intelligence
  • CPV
  • Continued Process Verification
  • Recommendations
  • Received March 19, 2024.
  • Accepted December 17, 2024.
  • Copyright © 2024, Parenteral Drug Association

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PDA Journal of Pharmaceutical Science and Technology: 79 (2)
PDA Journal of Pharmaceutical Science and Technology
Vol. 79, Issue 2
March/April 2025
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Recommendations for Artificial Intelligence Application in Continued Process Verification
Mario Stassen, Catarina S. Leitao, Toni Manzano, Francisco Valero, Benjamin Stevens, Matt Schmucki, David Hubmayr, Ferran Mirabent Rubinat, Sandrine Dessoy, Antonio R Moreira
PDA Journal of Pharmaceutical Science and Technology Dec 2024, pdajpst.2024.012950; DOI: 10.5731/pdajpst.2024.012950

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Recommendations for Artificial Intelligence Application in Continued Process Verification
Mario Stassen, Catarina S. Leitao, Toni Manzano, Francisco Valero, Benjamin Stevens, Matt Schmucki, David Hubmayr, Ferran Mirabent Rubinat, Sandrine Dessoy, Antonio R Moreira
PDA Journal of Pharmaceutical Science and Technology Dec 2024, pdajpst.2024.012950; DOI: 10.5731/pdajpst.2024.012950
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