Literature DB >> 12954199

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

Yichun Sun1, Yingxu Peng, Yixin Chen, Atul J Shukla.   

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.

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Year:  2003        PMID: 12954199     DOI: 10.1016/s0169-409x(03)00119-4

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  16 in total

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3.  Increased bioavailability of primaquine using poly(ethylene oxide) matrix extended-release tablets administered to beagle dogs.

Authors:  C D Bertol; P R Oliveira; G Kuminek; G S Rauber; H K Stulzer; M A S Silva
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4.  Adaptive neuro-fuzzy modeling of poorly soluble drug formulations.

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Journal:  Pharm Res       Date:  2006-05-25       Impact factor: 4.200

5.  Investigating the Release of a Hydrophobic Peptide from Matrices of Biodegradable Polymers: An Integrated Method Approach.

Authors:  Anna V Gubskaya; I John Khan; Loreto M Valenzuela; Yuriy V Lisnyak; Joachim Kohn
Journal:  Polymer (Guildf)       Date:  2013-07-08       Impact factor: 4.430

6.  A novel nanogel loaded with chitosan decorated bilosomes for transdermal delivery of terbutaline sulfate: artificial neural network optimization, in vitro characterization and in vivo evaluation.

Authors:  Shahira F El Menshawe; Heba M Aboud; Mohammed H Elkomy; Rasha M Kharshoum; Amany M Abdeltwab
Journal:  Drug Deliv Transl Res       Date:  2020-04       Impact factor: 4.617

7.  Systematic quantitative characterization of cellular responses induced by multiple signals.

Authors:  Ibrahim Al-Shyoukh; Fuqu Yu; Jiaying Feng; Karen Yan; Steven Dubinett; Chih-Ming Ho; Jeff S Shamma; Ren Sun
Journal:  BMC Syst Biol       Date:  2011-05-30

8.  Predictive models for maximum recommended therapeutic dose of antiretroviral drugs.

Authors:  Michael Lee Branham; Edward A Ross; Thirumala Govender
Journal:  Comput Math Methods Med       Date:  2012-02-28       Impact factor: 2.238

9.  Application of Machine-Learning Algorithms for Better Understanding of Tableting Properties of Lactose Co-Processed with Lipid Excipients.

Authors:  Jelena Djuris; Slobodanka Cirin-Varadjan; Ivana Aleksic; Mihal Djuris; Sandra Cvijic; Svetlana Ibric
Journal:  Pharmaceutics       Date:  2021-05-05       Impact factor: 6.321

10.  Forward Modeling of the Coumarin Antifungals; SPR/SAR Based Perspective.

Authors:  Saeed Soltani; Shima Dianat; Soroush Sardari
Journal:  Avicenna J Med Biotechnol       Date:  2009-07
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