Brain Tumor Informatics at BMI
Brain cancer has complex underlying mechanisms that promote tumors through multiple signaling networks hosted in a number of molecularly discrete diseases. A quantitative understanding can lead to a better interpretation of the effects of these signaling networks.
Imaging Informatics at BMI
Radiology and Pathology images are used as key components of baseline disease classification; images are also increasingly used as biomarkers to assess treatment response. Reproducible and standardized methods of image analysis and quantification are crucial components.
Clinical and Translational Informatics at BMI
The Biomedical Informatics Department is both a leader and a collaborator in a variety of research projects that call for acquisition, storage, retrieval and analysis of clinical and biological datasets.
Research Areas

Brain Tumor Informatics


In Silico Science


Clinical and Translational Informatics


High End Computing


Imaging Informatics

News & Announcements

Next BMI Academic Exchange on April 19, 2016
Elizabeth Krupinski "Using Eye-Tracking to Assess How Clinicians Extract Information From Images" (SOM 178P)

October 2015  Congratulations to Assistant Professor Shamim Nemati on the NIH Career Award (K01)
Professor Shamim Nemati receives a 5 year NIH Career Development Award (K01) in biomedical big data science (BD2K) to develop deep learning algorithms for prediction of adverse events in the intensive care unit (ICU). Click here for more information.


Dr. Andrew Post's AIW article selected as best of medical informatics article in the Yearbook of IMIA


Dr. Li Xiong receives PCORI funding to build data registries for biomedical research


An interview with Assistant Professors David Gutman and Lee Cooper was featured by the NCI on the main page of The Cancer Genome Atlas (TCGA) website

Contact Information


Biomedical Informatics Department

Emory University

Psychology and Interdisciplinary Sciences Building

36 Eagle Row, 5th Floor South

Atlanta, GA 30322



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