The investigators at the Center for Computational Diagnostics study biomarkers available in blood or other body fluids/tissues for diseases that make a high impact on human health. These include:
- Childhood Disease
- Heart disease
- Eye disease
This is done using highly sophisticated proteomics and metabolomics methodologies. To conduct this research, the Center for Computational Diagnostics has been instrumental in the following ways.
- Creation of one of the largest Biospecimen Repositories for many types of body fluids and tissues from children and adults
- Development of the premier tool to manage such a large biorepository in collaboration with the National Cancer Institute Bioinformatics Grid (caBIG). These tools enable data integration of clinical data with many different data types such as proteomics, genomics, and metabolomics.
- Development of novel algorithms and statistical methods in order to transform these large datasets into clinical knowledge.
- Integration of the datasets from different technologies (genomics, proteomics, cellomics, metabolomics) with large scale public and commercial databases