Research Archive — Page 3 of 137
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July 20, 2026
Vanderbilt Health-led registry identifies gaps, aims to improve outcomes for aortic stenosis patients
The registry is the first to track data and evaluate the quality of upstream care processes before valve replacement for patients with aortic stenosis — the most common type of heart valve disease in developed nations. -
July 15, 2026
University of Michigan’s David C. Miller chosen to succeed Jeff Balser as Vanderbilt Health’s President and CEO and Dean of Vanderbilt University School of Medicine
Miller’s selection as the new senior leader for Vanderbilt Health and Vanderbilt University School of Medicine finalizes an extensive national search by the VH Board of Directors to identify Balser’s successor. -
July 10, 2026
Study to examine metabolic complications in adults living with HIV in Nigeria
Leveraging its expanding noncommunicable disease and HIV research portfolio in northern Nigeria, the team also plans to build local capacity in omics analysis. -
July 2, 2026
Trial of novel device aiding patients with acute decompensated heart failure
The device has the potential to reduce the length of stay for ADHF patients by measuring their response to diuretic medication in real time using algorithms, allowing the process of removing fluid to be more efficient. -
July 2, 2026
Report calls for focused support to stem the loss of physician-scientists
Due to a variety of academic, financial and organizational barriers, the number of physician-scientists in the United States has declined by nearly 70% during the past 40 years. -
July 2, 2026
Team’s prediction task compares GPT-4o with classic machine learning
Large language models have been functionally opaque. Seeking some transparency, a team undertook a comparison with traditional machine learning for predicting which patients would discontinue their home cancer medications. -
June 30, 2026
Team creates premium fake people to speed HIV research
Due to nations’ conflicting privacy regulations, de-identified clinical data needed for science doesn’t always travel so well internationally. A team turned to AI to generate a better class of fake people living with HIV.