Offered by
Center for Computational Biotechnology and Genomic Medicine (CCBGM)Access
How to gain access:
Contact Ravi Iyer Center Director Professor of Electrical and Computer Engineering rkiyer@illinois.edu
Available to:
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Faculty and Staff
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Grad Students
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Undergrads
Description
The goal of this project is to generate actionable intelligence using smart analytics to integrate big-data in the form of omics (genomics, transcriptomics, metabolomics etc.), clinical data and longitudinal data from electronic health records (EHR). The actionable intelligence is a descriptive piece of information with high-confidence and accuracy that can be used to tailor and individualize diagnosis and therapeutics for a given patient or inform potential candidates for biomarker discovery. The analytics and tools will be developed using engineering expertise at the Univ. of Illinois in close collaboration and partnership with leading clinicians, biologists and bioinformatics specialists at Mayo Clinic. This project will explore societally relevant, prevalent and yet less-understood diseases such as triple-negative breast cancer, major depressive disorder and diabetes.
Cost
There is no cost associated with this resource.
More Info
Data License
No License
How do I get more information?
Contact Ravi Iyer Center Director Professor of Electrical and Computer Engineering rkiyer@illinois.edu (217) 333-9732