风险分析(工程)
控制(管理)
计算机科学
管理科学
医学
工程类
人工智能
作者
Chris Barber,Vincent Antonucci,Jens-Christoph Baumann,Roland Brown,Elizabeth M. Covey‐Crump,David Elder,Eric L. Elliott,Jared W. Fennell,Fabrice Gallou,Nathan D. Ide,Guido Jordine,Jeffrey M. Kallemeyn,Dirk Lauwers,Adam R. Looker,Lucie E. Lovelle,Mark McLaughlin,Robert Molzahn,Martin A. Ott,Didier Schils,Rolf Schulte Oestrich
标识
DOI:10.1016/j.yrtph.2017.08.008
摘要
The ICH M7 Option 4 control of (potentially) mutagenic impurities is based on the use of scientific principles in lieu of routine analytical testing. This approach can reduce the burden of analytical testing without compromising patient safety, provided a scientifically rigorous approach is taken which is backed up by sufficient theoretical and/or analytical data. This paper introduces a consortium-led initiative and offers a proposal on the supporting evidence that could be presented in regulatory submissions.
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