Related Experiment Video
Updated: May 21, 2026

Alternating Magnetic Field-Responsive Hybrid Gelatin Microgels for Controlled Drug Release
Published on: February 13, 2016
Application of artificial neural networks (ANNs) and genetic programming (GP) for prediction of drug release from
Sinan Güres1, Aleksander Mendyk, Renata Jachowicz
1Institute of Pharmaceutics and Biopharmaceutics, Heinrich-Heine University of Düsseldorf, Universitätsstr. 1, 40225 Duesseldorf, Germany.
Abstract:
The aim of the present study was to develop a semi-empirical mathematical model, which is able to predict the release profiles of solid lipid extrudates of different dimensions. The development of the model was based on the application of ANNs and GP. ANNs' abilities to deal with multidimensional data were exploited. GP programming was used to determine the constants of the model function, a modified Weibull equation. Differently dimensioned extrudates consisting of diprophylline, tristearin and polyethylene glycol were produced by the use of a twin-screw extruder and their dissolution behaviour was studied. Experimentally obtained dissolution curves were compared to the calculated release profiles, derived from the semi-empirical mathematical model.
Related Concept Videos
Modified-Release Drug Delivery Systems: Rate-Programmed II
Modified-Release Drug Delivery Systems: Rate-Programmed I
Modified-Release Drug Delivery Systems: Classification
Modified-Release Drug Delivery Systems: Stimuli-Activated
Modified-Release Drug Delivery Systems: Influencing Factors
Analysis of Population Pharmacokinetic Data