News

Bennett Landman Awarded $2.6 Million Grant to Improve Alzheimer’s Patient MGMT

Bennett Landman, PhD, Chair of the Department and Professor of Electrical and Computer Engineering, received a $2.6 million NIH grant to improve the understanding of structural changes in the brains of people who have Alzheimer’s Disease. The goal is to identify opportunities for early intervention by developing more effective interventional strategies. Dr. Landman leads the four-year project.

Artificial Intelligence Predicts Opioid Overdose in Tennessee: Study by Colin Walsh

Researchers at Vanderbilt University Medical Center and the Tennessee Department of Health (TDOH) have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state. The team applied machine learning techniques to statewide data sources that included details on 2,574 fatal and 8,455 non-fatal opioid-related overdoses occurring within 30 days of an opioid prescription. In all, the data involved just over 3 million patients and more than 71 million prescriptions for controlled substances.

AMIA Schedule (VCLIC Member Presentations)

The 2021 American Medical Informatics Association (AMIA) Annual Symposium will take place from October 30 to November 3, 2021, in San Diego.  Below is the speaker schedule for members of the Vanderbilt Clinical Informatics Center (VCLIC). Contact Elise Russo at elise.russo@vumc.org if you have any questions about VCLIC presentations.    

DBMI Digest October 2021 Issue — Now Available!

The Vanderbilt University Medical Center (VUMC) Department of Biomedical Informatics's (DBMI) monthly newsletter, DBMI Digest, is now available to view. Read the October 2021 issue here.  Each DBMI Digest features department & faculty announcements, awards & appointments, educational & HR updates, funding opportunities and more. Each issue also includes a profile of one of our faculty, staff, postdocs and students. 

JAMIA: AI Predicts Next-day Delirium or Coma in ICU Patients

Critical care patients are prone to shift intermittently into delirium or coma without warning. A team at Vanderbilt University Medical Center used machine learning to predict the likelihood of next-day brain function status changes in these patients. The team’s report appears in the Journal of the American Medical Informatics Association.