Aliquots - Research Briefs

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.

Glucose metabolism influences the qualities of activated, mature B cells — white blood cells that are required for antibody-mediated immune responses, Vanderbilt researchers discovered.