Reporter Aug 12 2022 Archive — Page 1 of 1

Abstract blue scene with dark and light spheres suspended along radiating beams against a glowing blue background.
August 16, 2022

Nanoparticles boost anti-cancer immunity

An ingenious targeted nanoparticle approach developed by Vanderbilt researchers reduced tumor burden in a model of ovarian cancer.

Close-up of a brown eye overlaid with blurred ophthalmic eye-chart letters and numbers.
August 15, 2022

Mitochondria and retinal degeneration

Vanderbilt researchers have developed a new cellular model for exploring mitochondrial dysfunction in age-related macular degeneration, the leading cause of blindness in people over 65.

Illustration of red blood cells and several white blood cells suspended in a red bloodstream.
August 11, 2022

Genotype-specific blood counts

Vanderbilt researchers report genotype-specific reference ranges to improve interpretation of laboratory blood results in African Americans with a common gene variant that lowers white blood cell counts.

Abstract visualization of DNA sequencing data, with multicolored nucleotide letters and fluorescent waveform peaks reflected across a digital data surface.
August 11, 2022

Cell-free breast cancer “biopsy”

The circulating DNA that tumors release is a reliable metric of tumor genomics and can be used to monitor molecular changes in metastatic breast cancer.

Luke and Susan Simons recently made a gift to establish the Susan and Luke Simons Directorship at Vanderbilt-Ingram Cancer Center.
August 11, 2022

Couple’s gift helps support immunotherapy research

Luke and Susan Simons have endowed a new directorship that will support research so that more people can benefit from immunotherapies.

Nurse in gloves bathes a patient’s arm with a disposable cloth in a medical intensive care unit; hospital equipment and privacy curtains are visible in the background.
August 11, 2022

New predictive tool helps capture bedside observations of nurses

Vanderbilt is collaborating with several other medical systems to implement a predictive tool that uses machine learning to extract patient behaviors documented by nurses in electronic health records and transform them into observable data.