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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Detalles Bibliográficos
Autores principales: Bennett-Lenane, Harriet, O’Shea, Joseph P., Murray, Jack D., Ilie, Alexandra-Roxana, Holm, René, Kuentz, Martin, Griffin, Brendan T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466847/
https://www.ncbi.nlm.nih.gov/pubmed/34575483
http://dx.doi.org/10.3390/pharmaceutics13091398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466847/
https://www.ncbi.nlm.nih.gov/pubmed/34575483
http://dx.doi.org/10.3390/pharmaceutics13091398

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