Optimization and Prediction of Ibuprofen Release from 3D DLP Printlets Using Artificial Neural Networks
Abstract
The aim of this work was to investigate effects of the formulation factors on tablet printability as well as to optimize and predict extended drug release from cross-linked polymeric ibuprofen printlets using an artificial neural network (ANN). Printlets were printed using digital light processing (DLP) technology from formulations containing polyethylene glycol diacrylate, polyethylene glycol, and water in concentrations according to D-optimal...
Paper Details
Title
Optimization and Prediction of Ibuprofen Release from 3D DLP Printlets Using Artificial Neural Networks
Published Date
Oct 18, 2019
Journal
Volume
11
Issue
10
Pages
544 - 544
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History