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Application of artificial neural networks in the design of controlled release drug delivery systems.

机译:人工神经网络在控释药物递送系统设计中的应用。

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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.
机译:控释药物递送系统与常规剂型相比具有很大的优势。然而,由于这些递送系统的复杂性,有效开发控释药物递送系统存在巨大挑战。传统的统计响应面方法学(RSM)是已用于开发和制定控释剂型的技术之一。但是,RSM技术存在一些局限性。因此,另一种称为人工神经网络(ANN)的技术最近在控制释放剂型的开发中广受欢迎。在这篇综述中,讨论了基本的人工神经网络结构,人工神经网络模型的开发以及如何使用人工神经网络设计和开发控释药物递送系统的解释。此外,本综述还总结了人工神经网络在控释剂型设计和开发中的应用。

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