Leveraging machine learning to streamline the development of liposomal drug delivery systems
R. Eugster, M. Orsi, G. Buttitta, N. Serafini, M. Tiboni, L. Casettari, J.-L. Reymond, S. Aleandri, P. Luciani
This paper uses machine learning to predict critical quality attributes and process parameters for microfluidic liposome production, improving understanding of lipid behavior and streamlining drug delivery system development.
bioRxiv · Jul 1, 2024Pharmacology & Toxicology