Topical review: Ocular surface abnormalities in neurodegenerative disorders.

Significance: In an aging population, the number of people living with neurodegenerative disease is projected to increase. It is vital to develop reliable, noninvasive biomarkers to detect disease onset and monitor progression, and there is a growing body of research into the ocular surface as a potential source of such biomarkers.

Background: This article reviews the potential of in vivo corneal confocal microscopy and tear fluid analysis as tools for biomarker development.

Challenges in Describing Tremor and Dystonia.

Tremor is defined as an oscillatory and rhythmical movement. By contrast, dystonia is defined by sustained or intermittent abnormal postures, repetitive movements, or both. Tremor and dystonia often coexist in the same individual.

A Chemoinformatic-Guided Synthesis of a Spleen-Expressing mRNA Lipid Nanoparticle Platform.

mRNA lipid nanoparticles (LNPs) are a powerful technology that are actively being investigated for their ability to prevent, treat, and study disease. However, a major limitation remains: achieving extrahepatic mRNA expression. The development of new carriers could enable the expression of mRNA in non-liver targets, thus expanding the utility of mRNA-based medicines.

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation.

Polymeric membranes have been widely used for liquid and gas separation in various industrial applications over the past few decades because of their exceptional versatility and high tunability. Traditional trial-and-error methods for material synthesis are inadequate to meet the growing demands for high-performance membranes. Machine learning (ML) has demonstrated huge potential to accelerate design and discovery of membrane materials.