Department of Biomedical Informatics

March 4, 2024

Biomedical Informatics to launch new “AI Discovery & Vigilance to Accelerate Innovation & Clinical Excellence” (ADVANCE) Center, March 8

By Mia Garchitorena-Scancarelli
March 1, 2024

2024 REDCap Fest available online

Videos and slides from 2024 REDCap Fest, held online Feb. 21 – 23, are available for viewing by members of the Vanderbilt and Meharry Medical College research community.

By Paul Govern
February 27, 2024

Brad Malin elected a fellow of the Institute of Electrical and Electronics Engineers

Vanderbilt’s Brad Malin, PhD, was recently elected a fellow of the Institute of Electrical and Electronics Engineers for his contributions to data engineering, privacy and security in biomedicine.

By VUMC News and Communications
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
February 22, 2024

AI aids efforts to cut nuisance alerts for health care teams: study

A new study from Vanderbilt University Medical Center demonstrates the promise of artificial intelligence to help refine and target the myriad computerized alerts intended to assist doctors and other team members in day-to-day clinical decision-making.

By Paul Govern
February 20, 2024

Liver disease specialist Ashley Spann receives two career development awards

Vanderbilt’s Ashley Spann, MD, MSACI, is the inaugural recipient of the Harold Amos Medical Faculty Development Program Hepatology Award from the American Association for the Study of Liver Diseases.

By Leigh MacMillan
February 19, 2024

VUMC part of major step to achieving precision medicine

An analysis of genomic data from nearly 250,000 participants in the National Institutes of Health’s All of Us Research Program has identified more than 275 million previously unreported genetic variations, nearly 4 million of which have potential health consequences.
By Bill Snyder
February 8, 2024

New algorithms show promise for predicting bipolar disorder risk

In a new study across three major U.S. health care systems, researchers developed and tested algorithms to predict who will develop bipolar disorder.
By Paul Govern
January 23, 2024

VUMC establishes Realizing Accelerated Progress, Investigation, Implementation, and Dissemination in Learning Health Systems (RAPID-LHS) Center

The new center, supported by a $5 million grant from the Agency for Healthcare Research and Quality and the Patient-Centered Outcomes Research Institute will focus on training scientists and supporting research to minimize gaps between the generation of clinical evidence, implementation of proven interventions and development of informed public health policy.
By Jill Clendening
January 5, 2024

Artificial intelligence advances work in VUMC’s clinical and research settings

Vanderbilt University Medical Center physicians and researchers are applying artificial intelligence in innovative ways to advance clinical care and scientific understanding of these cutting-edge tools.
By VUMC News and Communications
January 2, 2024

Team uses COVID-19 to test automated acute disease profiling

An automated solution for creating phenotyping algorithms, PheNorm, worked well to identify symptomatic COVID-19 cases in electronic health records, suggesting that automation could speed high-throughput phenotyping of acute disease.
By Paul Govern
December 21, 2023

Vanderbilt’s Embí and team awarded AIM-HI grant to improve use and monitoring of AI in health care

A Vanderbilt team has received funding to pursue research projects deploying artificial intelligence (AI) and machine learning (ML) algorithms to enhance diagnostic decision-making in health care.
By Mia Garchitorena-Scancarelli
November 17, 2023

Study validates use of VUMC suicide risk model in Navy primary care

A Vanderbilt study found that automated suicide risk prediction models operating on electronic health records could help clinical teams efficiently identify patients for face-to-face suicide risk screening and prevention.
By Paul Govern
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