The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion

The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion

Amorphous solid dispersion (ASD) is one of the most important strategies to improve the solubility and dissolution rate of poorly water-soluble drugs. As a widely used technique to prepare ASDs, hot-melt extrusion (HME) provides various benefits, including a solvent-free process, continuous manufact...

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Bibliographic Details
Main Authors: Junhuang Jiang, Anqi Lu, Xiangyu Ma, Defang Ouyang, Robert O. Williams, III
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:International Journal of Pharmaceutics: X
Subjects:
Amorphous Solid Dispersion
Artificial Intelligence
Machine Learning
Hot-Melt Extrusion
Online Access:http://www.sciencedirect.com/science/article/pii/S2590156723000087

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http://www.sciencedirect.com/science/article/pii/S2590156723000087

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