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

• 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/45930/1/Predicting%20the%20optimum%20compositions%20of%20a%20parenteral%20nanoemulsion%20system%20loaded%20with%20azithromycin%20antibiotic%20utilizing%20the%20artificial%20neural%20network%20model.pdf; http://psasir.upm.edu.my/id/eprint/45930/; https://pubs.rsc.org/en/content/articlelanding/2015/ra/c5ra14913d

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...