Vanderbilt researchers used novel MRI methods to noninvasively quantify measures of neurofluid circulation and found that hypertrophy of a site of cerebrospinal fluid egress may be related to amyloid-beta retention in Alzheimer’s disease.

Detailed studies of the enzymatic properties of PNPLA1 support the requirement for this protein in skin barrier formation.

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.

Christine Lovly, MD, PhD, has been elected to the American Association for Cancer Research board of directors.

The largest genomic analysis ever conducted of small cell lung cancer tumors (SCLC) has identified genetic subtypes and provided insights into the mechanisms of this aggressive and deadly cancer.

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.