von Stosch Moritz, Davy Steven, Francois Kjell, Galvanauskas Vytautas, Hamelink Jan-Martijn, Luebbert Andreas, Mayer Martin, Oliveira Rui, O'Kennedy Ronan, Rice Paul, Glassey Jarka
REQUIMTE, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal.
Biotechnol J. 2014 Jun;9(6):719-26. doi: 10.1002/biot.201300385. Epub 2014 May 8.
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.
本报告重点介绍了生物制药行业中混合建模应用的驱动因素、挑战和推动因素。它是对具有相关科学和工程背景的欧洲学者和实业家进行的专家小组讨论的总结。混合建模从更广泛的意义上看待,即不同知识源以参数和非参数模型的形式集成到一个混合半参数模型中,例如基本模型和数据驱动模型的集成。文中还简要介绍了该方法的当前技术水平和工业应用情况。报告最后提出了一些建议,以促进这种建模方法的进一步发展和更广泛的工业应用。这些建议仅限于在生物制药行业的过程分析技术(PAT)应用中进一步挖掘该方法的优势。