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Models for predicting preterm birth have historically focused on babies considered very preterm, born at 28 to 32 weeks, or moderate to late preterm, born at 32 to 37 weeks. Only a few studies have looked at those born extremely preterm, before 28 weeks of development, yet these early fetuses account for the vast majority of newborn deaths.

Vanderbilt’s Master of Science in Applied Clinical Informatics program (MSACI) is now accepting applications for fall 2022.

  Apply today! https://medschool.vanderbilt.edu/biomedical-informatics/research-ms-and-phd-program/application-and-admission/

DBMI's Patrick Wu, Wei-Qi Wei, Scott Nelson, Qingxia "Cindy" Chen, Dan Roden,

Thomas Reese, PharmD, PhD, Assistant Professor in the Department of Biomedical Informatics (DBMI) at Vanderbilt University Medical Center (VUMC), and Siru Liu, PhD, postdoctoral research fellow in DBMI, and colleagues published a study in JAMIA titled "The Potential for Leveraging Machine Learning to Filter Medication Alerts". 

Warmest welcome to Peter Embí, MD, MS, FACP, FACMI, FAMIA, FIAHSI, who began his new role as chair of Vanderbilt University Medical Center’s Department of Biomedical Informatics (DBMI) and Senior Vice President for Research and Innovation on January 1, 2022. 

Two of the “top 10” papers representing key advances in genomic medicine published between September 2020 and August 2021 were written by researchers at Vanderbilt University Medical Center. One of the papers, published in June 2021 in JAMA Internal Medicine, described how a gene variant that lowers white blood cell counts and which is common in those with African ancestry contributes to unnecessary bone marrow biopsies.

The 21st Century Cures Act Interoperability Final Rule calls for improved information sharing between clinicians and their patients. The American Academy of Pediatrics (AAP) created a series of five minute "Quick Talks" in which AAP members address common questions and concerns about the Final Rule. 

The first study to evaluate the clinical characteristics and outcomes of fully vaccinated patients with cancer who had breakthrough COVID-19 infections indicates they remained at high risk for hospitalization and death.

Information based biomedical discovery, in particular the push toward precision medicine, depends on open-ended analysis of de-identified data from patients and research participants on the largest possible scale. Sharing data while controlling the risk of data reidentification under privacy attack is vital to the enterprise.