Vanderbilt researchers used billing codes in electronic health records to develop a “phenotype risk score” that identified established and undiagnosed people with lupus.

A transcontinental research effort led by scientists from Vanderbilt University Medical Center and the University of Michigan has upended some long-standing assumptions about mutations — how often they occur, what causes them and what they do.

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.

Fluorescent nanoparticles clearly identified colonic adenomas — precursors to colorectal cancer — in mice, and the formulation should translate to clinical use in humans.