Wei-Qi Wei

February 26, 2024

Study finds a role for AI in drug repurposing pipeline

Vanderbilt researchers are using artificial intelligence to search for existing drugs used for other problems that might help patients Alzheimer’s Disease.

By Paul Govern
September 8, 2022

PheWAS reveals post-COVID-19 diagnoses

Using a high-throughput informatics technique and electronic health records, Vanderbilt researchers found that COVID-19 survivors had an increased risk for more than 40 new diagnoses.

By Bill Snyder
(iStock)
January 20, 2022

New method enhances efforts to identify drug repurposing targets

Researchers at Vanderbilt University Medical Center have developed a new method for identifying drugs for the repurposing trials that can lead to new indications for drugs already in use.

By Paul Govern
September 17, 2021

Grant creates center for maternal, pediatric precision therapeutics

Vanderbilt University Medical Center has been awarded a five-year, $6 million grant from the National Institutes of Health to serve as a center of excellence for Maternal and Pediatric Precision in Therapeutics.

By Christina Echegaray
June 17, 2021

Drug allergy labels in medical records power searches for gene-drug associations

By Paul Govern
April 15, 2021

Team analyzed clinical notes to identify COVID symptoms

At the start of the COVID-19 pandemic, public health authorities first had to identify and draw attention to common signs and symptoms of the disease.

By Paul Govern
February 11, 2021

Grant supports speedy sorting of health records by phenotype

Wei-Qi Wei, MD, PhD, assistant professor of Biomedical Informatics and scientific director of the Precision Phenotyping Core at the Center for Precision Medicine, has been awarded a four-year, $1.7 million grant from the National Institutes of Health (grant GM139891) to continue
By Paul Govern
December 17, 2020

COVID-associated delays for elective services studied

This spring in the U.S., there were widespread delays in elective health care procedures and screenings. Hospitals, in observance of federal guidelines, were, for a time, conserving beds and protective equipment in preparation for a surge in COVID-19 admissions. And, perhaps on a more prolonged basis, patients in many areas of the country stayed away due to anxiety over catching COVID-19 from other patients or their health care team.
By Paul Govern
October 29, 2020

New tool rapidly identifies health records for studies

Electronic health records (EHR) are increasingly a resource for biomedical discovery, and automated searches for records that reflect a phenotype of interest, typically a disease, are a common starting point.
By Paul Govern
July 1, 2020

VUMC-led network to focus on polygenic risk for common diseases

With the aid of a $75 million, five-year grant renewal, the Electronic Medical Records and Genomics Network (eMERGE) will venture beyond its current focus on monogenic disease to scoring research participants’ relative risk for complex heritable diseases such as cardiovascular disease, chronic kidney disease and type 2 diabetes.
By Paul Govern
October 7, 2019

AI maps routes to heart disease

Machine learning on unlabeled electronic health record data has shed light on the emergence of cardiovascular disease.
By Paul Govern
May 3, 2018

Gene study spots clues to heart risk for statin patients

A Vanderbilt-led research team has discovered genetic variations that increase the risk of heart attack even when patients are receiving a statin drug like Lipitor or Crestor to lower their blood cholesterol.
By Bill Snyder
September 23, 2015

Data diving for health

To most effectively use electronic health records for research, investigators should query multiple components of the record to identify patients with specific diseases.
By VUMC News and Communications
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