A team of researchers from the Department of Biomedical Informatics (DBMI) has published its work developing and testing a diversity, equity and inclusion curriculum for use in higher education. The paper, “Experiences with Developing and Implementing a Courageous Conversations Pilot Classroom Through Synchronous Meetings via Zoom,” appears in the Journal of Clinical and Translational Science. […]
Publications
Donald Johann Jr., M.D., Published Again in Nature, Receives NIH Equipment Grant
Department of Biomedical Informatics (DBMI) Professor Dr. Donald Johann Jr. has received a $245,000 grant from the National Institutes of Health to purchase three Next Generation Sequencing (NGS) instruments, specifically a NextSeq2000 and two iSeq-100 desk top NGS systems. Johann is also coauthor of a new paper published in Nature Scientific Data – “Ultra-deep sequencing […]
Clinical Informatics Fellowship Alumna’s Research on EHR Upgrades Published
Research by UAMS Clinical Informatics Fellowship alumna Lori Wong, M.D., MPH, on the impact of electronic health record (EHR) system upgrades on physicians has been published in the October issue of Applied Clinical Informatics Open. Dr. Wong is the first author on the paper, “The Impact of an Organization-Wide Electronic Health Record (EHR) System Upgrade […]
KL2 Meeting Sparks DBMI Faculty Collaboration, Three Publications
A routine monthly meeting hosted by the Translational Research Institute (TRI), a comment and a question were the genesis for three publications this year by two TRI KL2 Mentored Research Career Development Program scholars from the Department of Biomedical Informatics (DBMI). Maryam Garza, Ph.D., MPH, MMCi, and Tremaine Williams, Ed.D., who became KL2 scholars in […]
Dr. Greer Publishes on ML, AI & Bias in Algorithms
Dr. Melody Greer, an assistant professor in the Department of Biomedical Informatics (DBMI), has published several articles in recent months, including topics in machine learning (ML), artificial intelligence (AI) and potential bias in algorithms. “Repeatable enhancement of healthcare data with social determinants of health” was published in Frontiers in Big Data in August 2022 by […]
De-identified Patient Database Helps Show COVID-19, Heart Failure Risk Connection
Big data projects championed by faculty in the Department of Biomedical Informatics (DBMI) are supporting ongoing discoveries as scientists learn more about the long-term effects of COVID-19 infection. Husam M. Salah, M.D., recently published findings in Nature Communications showing patients previously hospitalized with COVID-19 had a 45% higher risk of heart failure than other hospitalized patients. Salah […]
Research Uncovers Big Data Insights into Antibiotic Resistance
Dr. Se-Ran Jun, Assistant Professor in the Department of Biomedical Informatics, postdoctoral fellow Dr. Zulema Udaondo, and colleagues have published a paper in Microbial Genomics. Dr. Udaondo is first author and Dr. Jun is senior author on the study, which provides novel insights into how resistance to daptomycin – an antibiotic used to treat serious […]
Dr. Donald Johann coauthors paper on Next-Generation Sequencing in High-Impact Journal
Dr. Donald Johann, professor of Biomedical Informatics, is an author on an article in the high-impact journal Genome Biology on ways to improve Next-Generation Sequencing (NGS) assays that use fixed tissue. Precision medicine approaches are revolutionizing the practice of clinical oncology. However, formalin fixed paraffin embedded (FFPE), a routine pathology practice, brings challenges for the […]
Transforming Cancer Medicine
Dr. Donald Johann, Associate Professor of Biomedical Informatics and Internal Medicine, authored a paper in the high-impact journal Nature Scientific Data on the analytic validity of liquid biopsies. The use of routine blood draws to diagnose and monitor the status of cancer patients, rather than tissue biopsies, is revolutionizing the practice of clinical oncology and […]
High School Student Earns Spot on UAMS Research Team
When a UAMS Parkinson’s disease research project needed someone with machine learning expertise, Fred Prior, Ph.D., asked Anu Iyer if she would be interested. It would have been a routine invitation among researchers at the University of Arkansas for Medical Sciences (UAMS), but Iyer is a junior at Little Rock’s Central High School. Prior, Iyer’s mentor […]