药物输送
计算机科学
剂型
人工神经网络
控制释放
生化工程
输送系统
人工智能
纳米技术
工程类
生物医学工程
药理学
医学
材料科学
作者
Yichun Sun,Yingxu Peng,Yixin Chen,Atul Shukla
标识
DOI:10.1016/s0169-409x(03)00119-4
摘要
Controlled release drug delivery systems offer great advantages over the conventional dosage forms. However, there are great challenges to efficiently develop controlled release drug delivery systems due to the complexity of these delivery systems. Traditional statistic response surface methodology (RSM) is one of the techniques that has been employed to develop and formulate controlled release dosage forms. However, there are some limitations to the RSM technique. Hence, another technique called artificial neural networks (ANN) has recently gained wide popularity in the development of controlled release dosage forms. In this review, the basic ANN structure, the development of the ANN model and an explanation of how to use ANN to design and develop controlled release drug delivery systems are discussed. In addition, the applications of ANN in the design and development of controlled release dosage forms are also summarized in this review.
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