A full understanding of retinal cell types and their functions could point to novel therapeutic targets for diseases that affect the visual system, such as glaucoma — a leading cause of blindness for people over age 60.

A new interactive tool presents information on noncoding RNA in extracellular vesicles — agents of cell-cell communication that may have a future in medical diagnosis and therapeutics.

Artificial intelligence programs outperformed doctors at answering typical patient questions — suggesting they could be used to write first-draft responses and help speed doctors’ work.

Using a technique developed at Vanderbilt University Medical Center, researchers identified antibodies that are excellent leads as potential therapies for human parainfluenza virus 3, a leading cause of acute and potentially fatal respiratory illness.

Genetic analyses suggest that branched chain amino acids may be a sensitive biomarker of early or subclinical Type 2 diabetes and could be used to identify risk and implement preventive measures.

Vanderbilt biostatisticians have developed an immunotherapy response model that outperforms existing predictive models.

An automated solution for creating phenotyping algorithms, PheNorm, worked well to identify symptomatic COVID-19 cases in electronic health records, suggesting that automation could speed high-throughput phenotyping of acute disease.