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.
Data Resources Type: Data
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