A machine learning method based on neural networks outperformed a mutational scanning model at identifying disease-causing mutations in an Alzheimer’s disease protein, suggesting the method could be useful for facilitating therapeutic design.

Vanderbilt research finds that GLP1 receptor agonists — a class of diabetes medications — are associated with fewer major adverse cardiovascular events than another type of diabetes drug (DPP4 inhibitors) in older veterans with no prior heart disease.

Vanderbilt researchers identified optimal MRI parameters for estimating the severity of polycystic kidney disease, a common inherited disorder that can lead to end-stage renal failure.

A new technique will allow researchers to track subsets of immune cells that patrol and defend the lungs, to better understand the roles of these cells during lung inflammation, infection and injury.

COVID-19 infection alters the microbes of the upper respiratory tract for at least several weeks, and such disturbances could impact disease severity and be targets for therapeutic interventions.

Drug-resistant tuberculosis is on the rise, and novel antibacterial drugs called SPTs have potential for treating the deadly lung infection.