Title of article
Application of artificial neural networks in the design of controlled release drug delivery systems
Author/Authors
Sun، نويسنده , , Yichun and Peng، نويسنده , , Yingxu and Chen، نويسنده , , Yixin and Shukla، نويسنده , , Atul J، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2003
Pages
15
From page
1201
To page
1215
Abstract
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.
Keywords
Controlled release , Drug delivery systems , Design of Experiment , Deconvolution , Fit factors , Response surface methodology , Artificial neural network , Formulation optimization
Journal title
Advanced Drug Delivery Reviews
Serial Year
2003
Journal title
Advanced Drug Delivery Reviews
Record number
1761337
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