Reporter Nov 12 2021

AI predicts 24-hour hospital discharge

Vanderbilt researchers used a machine learning algorithm and data from more than 26,000 hospital stays to predict who would and would not be discharged over the next 24 hours.

Who’s who in the respiratory landscape

A metatranscriptomics method developed by Vanderbilt researchers simultaneously characterizes viruses, microbiome and host response in nasal swabs, opening opportunities to explore molecular interactions directly in clinical samples.

Amya Elliott, 9, talks with Bonnie Pilon, RN, prior to receiving her COVID-19 vaccination at Monroe Carell Jr. Children’s Hospital at Vanderbilt. The hospital began mass vaccination for children ages 5-11 on Monday, Nov. 8.

Vaccination day at Children’s Hospital

Monroe Carell Jr. Children’s Hospital at Vanderbilt began mass vaccination for children ages 5-11 on Monday, Nov. 8.

Ayaka Sugiura and Jeff Rathmell, PhD, are studying a metabolic enzyme involved in T cell function that may offer a new target for anti-inflammatory therapeutics.

CRISPR screen identifies new anti-inflammatory drug target

A novel CRISPR screen developed by Vanderbilt researchers identified a promising new target for anti-inflammatory therapeutics.

The power of white matter

Using a novel analysis of fMRI data, Vanderbilt researchers discovered intriguing patterns of signals in the brain’s white matter, the “conduit” for relaying signals between different brain regions.

From left, Dandan Liu, PhD, Alan Storrow, MD, and Sunil Kripalani, MD, MSc, are testing the real-world implementation of a risk stratification tool to avoid unnecessary hospital admissions of patients diagnosed with acute heart failure in the emergency department.

VUMC team puts tool to reduce heart failure admissions to test

Vanderbilt researchers have developed a risk stratification tool to predict outcomes and avoid unnecessary hospital admissions after emergency department visits for acute heart failure.

1 2