A perspective of lipid nanoparticles for RNA delivery.

Over the last two decades, lipid nanoparticles (LNPs) have evolved as an effective biocompatible and biodegradable RNA delivery platform in the fields of nanomedicine, biotechnology, and drug delivery. They are novel bionanomaterials that can be used to encapsulate a wide range of biomolecules, such as mRNA, as demonstrated by the current successes of COVID-19 mRNA vaccines. Therefore, it is important to provide a perspective on LNPs for RNA delivery, which further offers useful guidance for researchers who want to work in the RNA-based LNP field.

A perspective-driven and technical evaluation of machine learning in bioreactor scale-up: A case-study for potential model developments.

Bioreactor scale-up and scale-down have always been a topical issue for the biopharmaceutical industry and despite considerable effort, the identification of a fail-safe strategy for bioprocess development across scales remains a challenge. With the ubiquitous growth of digital transformation technologies, new scaling methods based on computer models may enable more effective scaling. This study aimed to evaluate the potential application of machine learning (ML) algorithms for bioreactor scale-up, with a specific focus on the prediction of scaling parameters.