A. Sharma

The paper uses a machine learning model to predict seizure risk in glioma patients at presentation, finding sex, tumor size, and age as significant predictors.

The paper identifies miPEP858a, a peptide encoded by pri-miR858a, and shows it regulates plant growth, development, and flavonoid biosynthesis through modulation of miR858a and its target genes.

The paper develops a single-cell assay to analyze EphA receptor clustering in cancer cells, revealing its persistence through division and association with migration and drug resistance.

This study shows that soil salinity inhibits plant shade avoidance by interfering with ABA and BR signaling pathways, suppressing PIF function.

This study tracks iron nanoparticle-labeled MSCs in an OA model, showing they persist in joints and increase homeostatic macrophages, reducing inflammation.

This paper introduces a microfluidic device for creating lipid vesicles with tunable sizes and asymmetric lipid monolayers, capable of encapsulating cargo and supporting membrane processes.

This paper uses machine learning on whole-genome sequencing of plasma cell-free DNA to detect early-stage colorectal cancer with high sensitivity and specificity.

The paper investigates how gut microbiota differences predict nitrogen balance and growth responses to protein deficiency in mice.

This study presents a cryo-EM structure of Patched, revealing its structural similarity to RND transporters and suggesting a role in cholesterol transport.

The paper identifies a maternal effect gene, Wds, that suppresses Wolbachia titer in Nasonia wasps through genetic and transcriptomic analysis.

This study provides a structural model of how P. knowlesi and P. vivax DBL proteins interact with human DARC to facilitate red blood cell invasion.