过程(计算)
风险管理
风险分析(工程)
产品生命周期
产品(数学)
工艺验证
计算机科学
工作(物理)
新产品开发
过程管理
运营管理
业务
工程类
验证和确认
数学
财务
操作系统
机械工程
几何学
营销
出处
期刊:Biologicals
[Elsevier BV]
日期:2024-08-01
卷期号:87: 101786-101786
标识
DOI:10.1016/j.biologicals.2024.101786
摘要
Viral clearance (VC) studies are routinely required prior to entering clinical trials or for commercial launch of biopharmaceuticals. With increasing prior knowledge and experience, platform validation can be used to eliminate some VC studies and such strategy has been updated into industry guidelines, such as ICH Q5A (R2). In addition, process changes can happen during life-cycle management of a product. In these circumstances, high-risk process parameters need to be identified and corresponding control strategies need to be defined to ensure viral safety of the product. This work describes the design of a science-based risk management tool and how this tool is employed for platform validation and process change scenarios.
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