Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study

Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study

In response to the increasing application of machine learning (ML) across many facets of pharmaceutical development, this pilot study investigated if ML, using artificial neural networks (ANNs), could predict the apparent degree of supersaturation (aDS) from two supersaturated LBFs (sLBFs). Accuracy...

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Bibliographic Details
Main Authors: Harriet Bennett-Lenane, Joseph P. O’Shea, Jack D. Murray, Alexandra-Roxana Ilie, René Holm, Martin Kuentz, Brendan T. Griffin
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Pharmaceutics
Subjects:
lipid-based drug delivery
computational pharmaceutics
machine learning
supersaturated lipid-based formulations
Online Access:https://www.mdpi.com/1999-4923/13/9/1398

Internet

https://www.mdpi.com/1999-4923/13/9/1398

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