Machine learning modelling of wet granulation scale-up using compressibility, compactibility and manufacturability parameters
Abstract
The purpose of this extensive study is to use a quality by design (QbD) approach and multiple machine learning algorithms in facilitating wet granulation process scale-up. This study investigated the extent of influence of both formulation and process variables. Furthermore, measured responses covered compressibility, compactibility and manufacturability of a powder blend. Finally, the models developed on laboratory scale samples were tested on...
Paper Details
Title
Machine learning modelling of wet granulation scale-up using compressibility, compactibility and manufacturability parameters
Published Date
Jan 1, 2019
Journal
Volume
73
Issue
3
Pages
155 - 168
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