Paul Govern Archive — Page 21 of 55

Vanderbilt Health “My Health at Vanderbilt” portal screen with a COVID-19 vaccine information banner, guest access and assistance options, telehealth and interpreter services links, Spanish-language option, and username and password sign-in fields.
December 2, 2021

Surveys show VUMC patients value immediate online access to test results

Research by Dane Chetkovich, MD, PhD, right, Ye Han, PhD, and colleagues on how antidepressants work points to possible new targets for drug development.
December 1, 2021

Study provides new insight into how antidepressant drugs work

A study by Vanderbilt researchers sheds light on how current antidepressant drugs work and suggests a new drug target in depression.

(iStock)
November 30, 2021

Study examines genetic risk for suicide attempt

New research from Vanderbilt identifies the first replicated genomic region contributing to risk of suicide attempt and confirms that genetic risk for the trait is not driven solely by risk for psychiatric disorders.

Blue side-profile silhouette of a human head and neck filled with interlocking gears, with additional gears floating above and to the right.
November 19, 2021

Vanderbilt voices featured in Alzheimer’s webcast

Vanderbilt researchers took part in an online panel discussion this week sponsored by the Women’s Alzheimer’s Movement (WAM), hosted by journalist and author Maria Shriver, the organization’s founder, and NBC news anchor Richard Lui.

White disposable surgical mask labeled “COVID-19” on a light blue background.
November 17, 2021

Grant helps early-career researchers affected by COVID-19

Vanderbilt University Medical Center has received $550,000 from the Doris Duke Charitable Foundation’s (DDCF) COVID-19 Fund to Retain Clinical Scientists.

Healthcare professional in a white coat using a tablet beside a translucent digital globe and medical technology interface graphics.
November 16, 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.