Hybrid modeling for quality by design and PAT-benefits and challenges of applications in biopharmaceutical industry
Autor: | Paul Rice, Steven Davy, Ronan O'Kennedy, Martin Mayer, Jarka Glassey, Andreas Luebbert, Jan Martijn Hamelink, Moritz von Stosch, Rui Oliveira, Kjell Francois, Vytautas Galvanauskas |
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Rok vydání: | 2014 |
Předmět: |
Quality Control
Drug Industry business.industry Computer science Process analytical technology General Medicine Models Theoretical Applied Microbiology and Biotechnology Quality by Design Biopharmaceutics Biotechnology Engineering management Biopharmaceutical industry Knowledge sources Humans Molecular Medicine business Drug industry Panel discussion |
Zdroj: | Biotechnology Journal. 9:719-726 |
ISSN: | 1860-6768 |
DOI: | 10.1002/biot.201300385 |
Popis: | This report highlights the drivers, challenges, and enablers of the hybrid modeling applications in biopharmaceutical industry. It is a summary of an expert panel discussion of European academics and industrialists with relevant scientific and engineering backgrounds. Hybrid modeling is viewed in its broader sense, namely as the integration of different knowledge sources in form of parametric and nonparametric models into a hybrid semi-parametric model, for instance the integration of fundamental and data-driven models. A brief description of the current state-of-the-art and industrial uptake of the methodology is provided. The report concludes with a number of recommendations to facilitate further developments and a wider industrial application of this modeling approach. These recommendations are limited to further exploiting the benefits of this methodology within process analytical technology (PAT) applications in biopharmaceutical industry. |
Databáze: | OpenAIRE |
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