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Center for Biomedical Informatics

The UTHSC Center for Biomedical Informatics (CBMI) bridges technology, computation and health research to improve personal and population health in Memphis and Tennessee. Research at CBMI centers around using predictive analytics and semantic web ontologies.


Current Research Focus

  • Using machine learning and neural networks on streaming physiologic data collected from medical monitors to predict sepsis in children and adults.
  • Developing new machine learning methods to predict cardiac arrhythmias from normal electrocardiographic tracings.
  • Assessing the influence of social determinants of health and environment upon Sickle Cell Disease.
  • Developing new insight into the pathogenesis of preeclampsia
  • Creating smart personal libraries to help guide health

Learn more about ongoing biomedical informatics research

Featured Article

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation 

To Remain a Technology Leader, Radiology Must Train Residents in Machine Learning - Whitney J. Palmer

Meet the Director

Robert Davis image

Robert Davis, MD, MPH

  • Founding Director of the UTHSC Center for Biomedical Informatics
  • University of Tennessee-Oak Ridge National Laboratory Governor’s Chair in Biomedical Informatics
  • Professor, UTHSC Department of Pediatrics

Last Published: Nov 30, 2020