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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|