Digital application for drug product potency target evaluation in biopharmaceutical manufacturing

被引:1
|
作者
Shen, Darrick [1 ]
Panjwani, Shyam [1 ]
Spetsieris, Konstantinos [1 ]
机构
[1] Bayer Pharmaceut, 800 Dwight Way, Berkeley, CA 94710 USA
关键词
biologics manufacturing process; Monte Carlo simulation; out-of-specification (OOS) risk; potency; software application development; statistical modeling; sterile fill finish;
D O I
10.1002/btpr.3461
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Biopharmaceutical manufacturing entails a series of highly regulated steps. The manufacturing of safe and efficacious drug product (DP) requires testing of critical quality attributes (CQAs) against specification limits. DP potency concentration, which measures the dosage strength of a particular DP, is a CQA of great interest. In order to minimize the DP potency out-of-specification (OOS) risk, sterile fill finish (SFF) process adjustments may be needed. Varying the potency targets can be one such process adjustment. To facilitate such evaluation, data acquisition and statistical calculations are required. Regularly conducting the OOS risk assessment manually using commercial statistical software can be tedious, error-prone, and impractical, especially when several alternate potency targets are under consideration. In this work, the development of a novel framework for OOS risk assessment and deployment of cloud-based statistical software application to facilitate the risk assessment are presented. This application is intended to streamline the assessment of alternate potency targets for DP in biologics manufacturing. The major aspects of this potency targeting application development are presented in detail. Specifically, data sources, pipeline, application architecture, back-end and front-end development as well as application verification are discussed. Finally, several use cases are presented to highlight the application's utility in biologics manufacturing.
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页数:10
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