Department of Biomedical Informatics Archive — Page 5 of 25
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July 17, 2024
Rischelle Jenkins provides the steady center of Biomedical Informatics
Over her two decades in the department, Jenkins has worked alongside the program’s educational leadership, managing student recruitment and enrollment, organizing critical data for DBMI’s National Library of Medicine grant, budgeting, overseeing weekly informatics seminars and planning social activities for students. -
June 11, 2024
2024 Chancellor Faculty Fellows selected
Each fellow holds the title for two years, receives $40,000 per year to support their work, and meets with their cohort to exchange ideas, build a broader intellectual community and engage in academic leadership development. -
June 10, 2024
Vanderbilt researchers establish biomedical informatics training program in Mozambique
Building sustainable biomedical informatics training and research capacity to address gaps in Mozambique's national HIV response will help the country leverage newer data-driven and genetics-based approaches for personalized HIV care and molecular epidemiology of the disease. -
June 3, 2024
Genetic variation associated with low white blood cell count impacts clinical decisions
People whose white blood cell levels are near the edge of the “healthy” reference range will hit a clinical decision point that has consequences such as diagnostic procedures and altered treatments. -
May 30, 2024
NIH awards $4.2 million for AI patient assessment
Tkaczyk and collaborators will assemble a database of more than 11,000 photographs and associated clinical information from diverse patient populations at five centers: Fred Hutchinson Cancer Center, Mayo Clinic, NIH, University of Pennsylvania and VUMC. -
May 3, 2024
Faculty member Daniel Fabbri describes entrepreneurial journey
The talk provided insights into the challenges and rewards of commercializing academic research. -
April 25, 2024
AI shows promise for clinical phenotyping
Researchers at Vanderbilt University Medical Center have demonstrated the potential for large language models like ChatGPT to help generate electronic health record phenotyping algorithms, a critical but time-consuming task in observational health research.