Next Article in Journal
Previous Article in Journal
Previous Article in Special Issue
Pharmaceutics 2012, 4(4), 531-550; doi:10.3390/pharmaceutics4040531
Review

Artificial Neural Networks in Evaluation and Optimization of Modified Release Solid Dosage Forms

,
,
 and
Received: 23 July 2012; in revised form: 24 September 2012 / Accepted: 5 October 2012 / Published: 18 October 2012
(This article belongs to the Special Issue Solid Dosage Forms)
View Full-Text   |   Download PDF [1090 KB, uploaded 18 October 2012]
Abstract: Implementation of the Quality by Design (QbD) approach in pharmaceutical development has compelled researchers in the pharmaceutical industry to employ Design of Experiments (DoE) as a statistical tool, in product development. Among all DoE techniques, response surface methodology (RSM) is the one most frequently used. Progress of computer science has had an impact on pharmaceutical development as well. Simultaneous with the implementation of statistical methods, machine learning tools took an important place in drug formulation. Twenty years ago, the first papers describing application of artificial neural networks in optimization of modified release products appeared. Since then, a lot of work has been done towards implementation of new techniques, especially Artificial Neural Networks (ANN) in modeling of production, drug release and drug stability of modified release solid dosage forms. The aim of this paper is to review artificial neural networks in evaluation and optimization of modified release solid dosage forms.
Keywords: artificial neural networks; modified release; pharmaceutical development artificial neural networks; modified release; pharmaceutical development
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Ibrić, S.; Djuriš, J.; Parojčić, J.; Djurić, Z. Artificial Neural Networks in Evaluation and Optimization of Modified Release Solid Dosage Forms. Pharmaceutics 2012, 4, 531-550.

AMA Style

Ibrić S, Djuriš J, Parojčić J, Djurić Z. Artificial Neural Networks in Evaluation and Optimization of Modified Release Solid Dosage Forms. Pharmaceutics. 2012; 4(4):531-550.

Chicago/Turabian Style

Ibrić, Svetlana; Djuriš, Jelena; Parojčić, Jelena; Djurić, Zorica. 2012. "Artificial Neural Networks in Evaluation and Optimization of Modified Release Solid Dosage Forms." Pharmaceutics 4, no. 4: 531-550.


Pharmaceutics EISSN 1999-4923 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert