基于回归和潜在空间提取的贪的设计空间建设,用于制药开发
Shuichi Tanabe1, Tatsuya Muraki2, Keita Yaginuma1
1Formulation Technology Research Laboratories, Daiichi Sankyo Co., Ltd., 1-12-1 Shinomiya, 2540014 Hiratsuka, Japan.
International journal of pharmaceutics
|June 26, 2023
概括
这项研究引入了一种新的贪方法,用于制造制药的低维设计空间 (DS). 这种方法增强了对监管药物批准的过程理解和可视化.
科学领域:
- 制药制造业 制药制造业 制药制造业
- 化学工程是化学工程的重要组成部分.
- 监管科学 监管科学
背景情况:
- 设计空间 (DS) 对于确保药物产品质量和监管批准至关重要.
- 高维统计模型用于定义DS,但它们缺乏可行的输入范围的可视化功能.
- 现有的方法努力平衡全面的过程理解与实际的DS可视化.
研究的目的:
- 提出一个贪的方法来构建一个广泛和灵活的低维的DS.
- 将高维统计模型与观察到的内部表示集成在一起,以改进DS可视化.
- 为了满足医药开发的全面过程理解和DS可视化能力.
主要方法:
- 开发了一种贪的方法,从一个高维的统计模型构建一个低维的DS.
- 利用观察到的相关性结构来减少DS的维度.
- 固定非关键可控参数,并考虑非关键可控参数的变化,用于可视化.
主要成果:
- 成功构建了一个低维的DS,它既广泛又灵活.
- 与高维模型相比,证明了可行的输入参数范围的可视化改进.
- 这种方法有效地平衡了过程理解与实际的DS可视化.
结论:
- 拟议的贪方法对于开发制药制造工艺非常有用.
- 这种方法增强了可视化和理解药物产品质量设计空间的能力.
- 该研究为制药行业的监管文件和流程优化提供了宝贵的工具.
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