Several highly accomplished, recently tenured faculty from a wide variety of disciplines and areas of expertise have been selected for the 2022 cohort of Chancellor Faculty Fellows.

New Vanderbilt research is pointing to solutions for efficient clinical prediction of suicide attempt or suicidal thinking in adults.

Researchers at Vanderbilt and the Tennessee Department of Health have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state.

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

Retrieval of clearer, more complete information from the EHR could go a long way toward improving predictive models of who will next be at risk of suicide, thereby improving care for patients with suicidal thoughts and behaviors.

Investigators will use computational methods to shed light on suicidal ideation and its relationship to attempted suicide, predict suicidal ideation and suicide attempt using routine electronic health records (EHRs) and explore the genetic underpinnings of both.

Vanderbilt’s Colin Walsh, MD, MA, left, Bennett Landman, PhD, and Bradley Malin, PhD, recently discussed how artificial intelligence is transforming patient care during their Cutting Edge Discovery Lecture.