Cancer Informatics: Development of methodologies and tools to facilitate the analysis of genomic, radiology, and pathology data. The ultimate goal of this line of research is to better characterize patient samples by incorporating a more complete picture of the cancer. While genomics is revolutionizing cancer care, both micro and macro-environmental aspects of the underlying tumor can have dramatic effects. A piece of tissue taken from the frontal lobe vs the brain stem may have identical genetics, but the clinical course of the patient will vary dramatically based on the location of the tumor.
Clinical Informatics: The capture of data within a clinic environment prevents many practical challenges; existing Electonic Medical Record systems (EMRs) are not designed to facilitate research, nor do the interfaces make extraction and synthesis of the vast amounts of data in the EMR readily accessible.
Computational Neuroscience: The use of in-silico methods to identify and measure brain features using various radiological image resources to study pathological development.
Digital Pathology: All pathological histology resources begins with the detailed acquisition of complete slide images. For this goal, our lab uses two whole slide scanning systems: Olympus VS120-SL and Hamamatsu NanoZoomer 2.0-HT
Non-human MRI Analysis: Our lab is involved in research that incorporates MRI analyses from non-human primate and murine models to offer additional insight into neural functioning and pathology development.
Pathology image analysis: The use of in-silico methods to analyze and quantify brain regions and biological marker staining at the cellular level.
REDCap: REDCap is a secure, web-based application for building and managing online surveys and databases. The REDCap consortium includes over 800 institutions around the world, including Emory University.