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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Royal Society of Chemistry
2015
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| Online Access: | 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 |