An Artificial Neural Network Approach to Predict the Effects of Formulation and Process Variables on Prednisone Release from a Multipartite System

The impact of formulation and process variables on the in-vitro release of prednisone from a multiple-unit pellet system was investigated. Box-Behnken Response Surface Methodology (RSM) was used to generate multivariate experiments. The extrusion-spheronization method was used to produce pellets and...

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Detalles Bibliográficos
Autores principales: Manda, Arthur, Walker, Roderick B., Khamanga, Sandile M. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470535/
https://www.ncbi.nlm.nih.gov/pubmed/30866418
http://dx.doi.org/10.3390/pharmaceutics11030109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470535/
https://www.ncbi.nlm.nih.gov/pubmed/30866418
http://dx.doi.org/10.3390/pharmaceutics11030109

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