Advanced Tissue Banking Information System-NMTB

Parents

*Pioneers: Biotechnology_Bioinformatics, Data Science, Data Mining, Health Analytics & Vital Statistics
*Pioneers: Data Mining, Predictive Health Analytics & Vital Statistics
Congressional Special Interest (CSI): Mid-Atlantic
Congressional Special Interest (CSI): Pennsylvania
NMTB Technologies Transferred
Organization & Developments (Academia): University of Pittsburgh
Pioneers: Research_Academia, Government Labs, Non-Profits, Industry
Technology Transfer:TATRC Successes

Access to well documented tissue specimens, using normalized descriptors, remains important limitations to medical research
Automatically annotate tissue specimens from existing data sources
Develop an information system to automate annotation process/deliver integrated, canonical, de-identified data on tissue specime
Dr John Gilbertson, MD, Director R & D, Center for Pathology Informatics, Director of R & D, Center for Oncology Informatics, U
Experimental results better understood and verified
Graphic visualization and data mining tools
Growing demand for extensive annotation of banked tissues
Query environment based on a data mart model
Serve the medical, pharmaceutical, bio-engineering and genomics industries
Store it in a warehouse
System being used at the university and elsewhere in the state
Tissue specimen annotation is difficult and expensive,
Transform the data into a canonical form
With annotation, tissues can be better matched to research question