Predicting physical stability of solid dispersions by machine learning techniques

Volume: 311-312, Pages: 16 - 25
Published: Oct 1, 2019
Abstract
Amorphous solid dispersion (SD) is an effective solubilization technique for water-insoluble drugs. However, physical stability issue of solid dispersions still heavily hindered the development of this technique. Traditional stability experiments need to be tested at least three to six months, which is time-consuming and unpredictable. In this research, a novel prediction model for physical stability of solid dispersion formulations was...
Paper Details
Title
Predicting physical stability of solid dispersions by machine learning techniques
Published Date
Oct 1, 2019
Volume
311-312
Pages
16 - 25
Citation AnalysisPro
  • 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.