Predicting the optimum compositions of a parenteral nanoemulsion system loaded with azithromycin antibiotic utilizing the artificial neural network model

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Predicting the optimum compositions of a parenteral nanoemulsion system loaded with azithromycin antibiotic utilizing the artificial neural network model

For the purpose of brain delivery via intravenous administration, the formulation of an azithromycin-loaded nanoemulsion system was optimized utilizing the artificial neural network (ANN) as a multivariate statistical technique. The input effective variables for nanoemulsion formulation were drug lo...

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Bibliographic Details
Main Authors:	S. Daood, Ghaidaa, Basri, Hamidon, Stanslas, Johnson, Fard Masoumi, Hamid Reza, Basri, Mahiran
Format:	Article
Language:	English
Published:	Royal Society of Chemistry 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/45930/ http://psasir.upm.edu.my/id/eprint/45930/1/Predicting%20the%20optimum%20compositions%20of%20a%20parenteral%20nanoemulsion%20system%20loaded%20with%20azithromycin%20antibiotic%20utilizing%20the%20artificial%20neural%20network%20model.pdf

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