Bringing expertise in data analysis and large scale computation, School of Medicine Research Computing is supporting clinical research at UVa. Several recent collaborations are listed below.
Heart Rate and Blood Pressure Analysis Pediatricians and neonatologists are interested in identifying normal ranges for vital signs of premature babies. Such metrics are critical to predictive monitoring of patients in the neonatal intensive care unit (NICU). SOMRC is working with physicians and clinical researchers to write code that manipulates, visualizes and analyzes the heart rate and blood pressure measurements from the available data.
School of Medicine Research Computing is engaged in multiple collaborative projects in support of basic science research. Below is a list of some recent collaborations in this area.
PHACTR1 and Smooth Muscle Cell Behavior Genome wide associate studies (GWAS) have revealed a number of loci that are associated with increased risk for Coronary Artery Disease (CAD). SOMRC is helping analyze phenotypic data collected in vitro in relation to PHACTR1, which is one of the genes associated with CAD.
Coronary artery disease (CAD) is the major cause of morbidity and mortality worldwide. Recent genome wide association studies (GWAS) have revealed more than 50 genomic loci that are associated with increased risk for CAD. However, the pathological mechanisms for majority of the GWAS loci leading to increased susceptibility to this complex disorder are still unclear. Many of the CAD loci appear to act through the vessel wall, presumably affecting smooth muscle cell (SMC) function.