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 | 
| Tags: | 
       Add Tag    
     
      No Tags, Be the first to tag this record!
    | 
