Robotics, microfluidics, nanotechnology and AI in the synthesis and evaluation of liposomes and polymeric drug delivery systems

Abstract

Graphical abstract The field of nanotechnology and personalised medicine is undergoing drastic changes in the approach and efficiency of experimentation. The COVID-19 pandemic has spiralled into mass stagnation of major laboratories around the globe and led to increased investment into remote systems for nanoparticle experiments. A significant number of laboratories now operate using automated systems; however, the extension to nanoparticle preparation and artificial intelligence–dependent databases holds great translational promise. The strive to combine automation with artificial intelligence (AI) grants the ability to optimise targeted therapeutic nanoparticles for unique cell types and patients. In this perspective, the current and future trends of automated approaches to nanomedicine synthesis are discussed and compared with traditional methods.

Advanced human-relevant in vitro pulmonary platforms for respiratory therapeutics

“…By leveraging such unique structures, lipophilic compounds can be encapsulated inside the lipid bilayer with hydrophilic compounds simultaneously loaded inside the aqueous core, thus enabling to encapsulate a wide range of therapeutics [181]. In the years since, advances in liposomal technology have accelerated applications across various pharmaceuticals areas [182,183].…”

Brief Outlook on Polymeric Nanoparticles, Micelles, Niosomes, Hydrogels and Liposomes: Preparative Methods and Action

“…Several critical aspects of polymeric drug delivery systems determine their properties, including size, surface shape and charge, chemistry, and drug release profile. [128] Polymeric drug delivery systems find application as carriers for biologics like proteins and small interfering RNAs. [129] The instability of genetic material payload has decreased by the use of polymeric drug delivery systems.…”

Development of Lipid Nanoparticles for the Delivery of Macromolecules Based on the Molecular Design of pH-Sensitive Cationic Lipids

“…NMR, SAXS, small-angle neutron scattering, thermal analyses, transmission electron microscopy, robotics, machine learning and so on) promise to become more and more important. [186][187][188][189][190][191][192] I sincerely hope that the LNP technology will continue to develop and contribute to the provision of advanced and safe medical care in the future.…”