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

• Main Authors: Harriet Bennett-Lenane (Author), Joseph P. O'Shea (Author), Jack D. Murray (Author), Alexandra-Roxana Ilie (Author), René Holm (Author), Martin Kuentz (Author), Brendan T. Griffin (Author)
• Format: Book
• Published: MDPI AG, 2021-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...