Predicting Drug Release Rate of Implantable Matrices and Better Understanding of the Underlying Mechanisms through Experimental Design and Artificial Neural Network-Based Modelling

There is a growing interest in implantable drug delivery systems (DDS) in pharmaceutical science. The aim of the present study is to investigate whether it is possible to customize drug release from implantable DDSs through drug–carrier interactions. Therefore, a series of chemically similar active...

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Detalles Bibliográficos
Autores principales: Benkő, Ernő, Ilič, Ilija German, Kristó, Katalin, Regdon, Géza, Csóka, Ildikó, Pintye-Hódi, Klára, Srčič, Stane, Sovány, Tamás
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879093/
https://www.ncbi.nlm.nih.gov/pubmed/35213961
http://dx.doi.org/10.3390/pharmaceutics14020228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879093/
https://www.ncbi.nlm.nih.gov/pubmed/35213961
http://dx.doi.org/10.3390/pharmaceutics14020228

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