Quality by design approach with multivariate analysis and artificial neural network models to understand and control excipient variability

IF 5.3 4区医学 Q1 PHARMACOLOGY & PHARMACY

Journal of Pharmaceutical Investigation Pub Date : 2022-12-20 DOI:10.1007/s40005-022-00608-5

J. Y. Kim, D. Choi

引用次数: 4

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采用多元分析和人工神经网络模型的设计质量方法来理解和控制赋形剂的变异性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Pharmaceutical Investigation Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science

CiteScore

10.20

自引率

9.10%

发文量

期刊介绍： Journal of Pharmaceutical Investigation(J. Pharm. Investig.), the official journal of the Korean Society of Pharmaceutical Sciences and Technology, is an international, peer-reviewed journal that covers all pharmaceutical sciences, including engineering, regulatory, physicochemical, biological, and microbiological studies related to the conception, design, production, characterization and evaluation of pharmaceutical products and drug delivery systems. It is a bimonthly journal published in January, March, May, July, September, and November. All manuscript should be creative and informative for pharmaceutical scientists, and should contain advanced knowledge in clear and concise English. Articles in the following categories are published: Research articles, Notes, Information, and Reviews.(Formerly Journal of Korean Pharmaceutical Sciences: ISSN 0259-2347)