This study employs machine learning to predict critical quality attributes and process parameters in microfluidic liposome production, advancing our understanding of lipid behavior and streamlining the development of liposomal drug delivery systems.

This work was carried out in the group of Prof. Dr. Paola Luciani.

References:

• R. Eugster, M. Orsi, G. Buttitta, N. Serafini, M. Tiboni, L. Casettari, J.-L. Reymond, S. Aleandri, P. Luciani;
  "Leveraging machine learning to streamline the development of liposomal drug delivery systems"
  J. Control. Release, 2024, 376, 1024-1038; doi:10.1016/j.jconrel.2024.10.065.