Department Of Biomedical Informatics

Peter Embí, professor and chair of the Department of Biomedical Informatics, is among 100 newly elected members of the National Academy of Medicine, the organization announced this week. Read More

A team at Vanderbilt University Medical Center will address the concerns and hopes surrounding health-related AI chatbots with the aid of a two-year funding award of up to $7.3 million from the Advanced Research Projects Agency for Health (ARPA-H). Read More

Thirteen outstanding faculty members from across the university have been selected for the 2024 cohort of Chancellor Faculty Fellows. This group is composed of highly accomplished, recently tenured faculty from a wide variety of disciplines and areas of expertise.    Read More

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. Read More

A Vanderbilt study found that prostate cancer polygenic risk score has limited utility for enhancing prostate cancer screening. Read More

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. Read More

Researchers across four health care systems, including Vanderbilt University Medical Center, have found that increased depression polygenic scores are associated with increased white blood cell count, highlighting the importance of the immune system in the etiology of depression. Read More

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. Read More

When a drug or combination of drugs causes different responses in different people, genetic variation is often at play. Pharmacogenomics, through discovery of genetic risk and use of clinical genotyping, aims to reduce trial-and-error approaches to drug prescribing. Read More

Voluntary data sharing across a region’s health systems and ambulatory care practices is important for measuring and improving health care quality and safety, Vanderbilt researchers report. Read More

A switch to paper forms during the COVID-19 pandemic might have hobbled research, but using software with a novel user interface made it possible to accurately extract information from scanned forms. Read More

Team members serving COVID-19 inpatients were more densely connected, interacting far more than their medical ICU counterparts. Read More

A machine learning algorithm that predicts suicide attempt recently underwent a prospective trial at the institution where it was developed, Vanderbilt University Medical Center. Read More

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 to continue development of high-throughput software for quickly identifying traits of interest, or phenotypes, in electronic health records (EHRs). Read More

An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions. Read More

Vanderbilt investigators have devised a system to alert health IT teams to deteriorating performance in clinical prediction models. Read More

What users mention in online weight loss forum tracks with how much weight they lose. Read More

Taking an interest in electronic message threads between surgical patients and their health care teams, a research group at Vanderbilt University Medical Center has tested how well certain commonly used machine learning algorithms can classify such exchanges according to their clinical decision-making complexity. Read More

Zhijun Yin, PhD, assistant professor of Biomedical Informatics at Vanderbilt University Medical Center, has received the National Cancer Institute’s Method to Extend Research in Time Award (or MERIT Award) for Early Stage Investigators. Read More

A computational method that uses hospital billing codes and electronic health records can identify genetic disease cases before clinical teams do. Read More