Building Artificial Neural Networks for the Optimization of Sustained-Release Kinetics of Metronidazole from Colonic Hydrophilic Matrices.

ABSTRACT: Introduction: Drug development has traditionally used mathematical models to predict formulation behavior. Objective: Building artificial neural networks for the drug release evaluation of drug delivery systems using sustained-release metronidazole-coated colonic hydrophilic matrices as a model. Methods: The technological factors associated with the biopharmaceutical performance of hydrophilic metronidazole matrices were evaluated using a quality by design approach (QbD). The developed neural network includes variables related to the technological process for producing the matrices. These are related to the materials used, such as the type and viscosity of core polymers, the type of coating agent, or the matrix production process, such as the mixing time of core materi

SUBMITTER: Maderuelo C 

PROVIDER: S-EPMC12655049 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature