工作流程
背景(考古学)
设计质量
计算机科学
生物制药
关系(数据库)
风险分析(工程)
质量(理念)
控制(管理)
质量管理
系统工程
管理科学
数据挖掘
工程类
运营管理
人工智能
管理制度
数据库
业务
生物
古生物学
下游(制造业)
遗传学
哲学
认识论
作者
Thorsten Verch,Cristiana Campa,Cyrille C. Chéry,Ruth Frenkel,Timothy W. Graul,Nomalie Jaya,Bassam Nakhle,Jeremy Springall,Jason A. Starkey,Jette Wypych,Todd Ranheim
出处
期刊:Aaps Journal
[Springer Science+Business Media]
日期:2022-01-01
卷期号:24 (1): 34-34
被引量:107
标识
DOI:10.1208/s12248-022-00685-2
摘要
Analytical methods are utilized throughout the biopharmaceutical and vaccines industries to conduct research and development, and to help control manufacturing inputs and outputs. These analytical methods should continuously provide quality data to support decisions while managing the remaining of risk and uncertainty. Analytical quality by design (AQbD) can provide a systematic framework to achieve a continuously validated, robust assay as well as life cycle management. AQbD is rooted in ICH guidelines Q8 and Q9 that were translated to the analytical space through several white papers as well as upcoming USP 1220 and ICH Q14. In this white paper, we expand on the previously published concepts of AQbD by providing additional context for implementation in relation to ICH Q14. Using illustrative examples, we describe the AQbD workflow, its relation to traditional approaches, and potential pathways for ongoing, real-time verification. We will also discuss challenges with respect to implementation and regulatory strategies.
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