An MRI method developed by Vanderbilt researchers uses imaging data to derive cell size and could be added to clinical practice for better monitoring of breast cancer treatment response.

Pretreatment of an animal model with a novel compound called PHAD reduced kidney injury, suggesting it may be a good candidate for preventing kidney injury in surgical patients.

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 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 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.