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The Future of Pharmacogenomic Informatics Gerry Higgins, M.D., Ph.D. tranSMART Knowledge Management Platform: Pre-competitive data-sharing and biomedical informatics Gerry Higgins, M.D., Ph.D. Vice President, Pharmacogenomic Science AssureRx Health, Inc.
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The Future of Pharmacogenomic Informatics Gerry Higgins, M.D., Ph.D. tranSMART Knowledge Management Platform: Pre-competitive data-sharing and biomedical informatics Gerry Higgins, M.D., Ph.D. Vice President, Pharmacogenomic Science AssureRx Health, Inc.
Vision:Realizing the promise of translational biomedical research by provision and continuous improvement of an open source code base for data sharing and analytics. Mission: The tranSMART Foundation enables effective sharing, integration, standardization, and analysis of heterogeneous data from collaborative translational research by mobilizing the tranSMART open-source and open-data community.
tranSMART Foundation Board of Directors • Gil Omenn, University of Michigan • Christoph Brockel, PA / Pfizer. • Leroy Hood, ISB • Garry Neil, Appletree Ventures • Brian Athey, University of Michigan (ex-officio) • Michael Braxenthaler, Pistoia Alliance and Roche • (ex-officio)
First developed on i2b2 informatics platform by Dr. Eric Perakslis while he was at Johnson & Johnson. First Pilot in 2011: Sharing of trial data for asthma drug development in Europe.
Selected tranSMART adopters: • eTRIKS (IMI), $€24M, 5 years, 16 partners • EMIF (IMI), $€24M, 5 years, 55 partners • TraIT (CTMM),$€16M, 4 years, 26 partners • TBIG (Janssen, Millennium, Sanofi & Pfizer) • Coordination of tranSMART enhancements on pre- competitive basis • University of Michigan • Johns Hopkins University – Brady Institute for Urology • One Mind for Research • Traumatic Brain Injury, Neuroscience Portal • U.S. Food and Drug Administration • Drug Safety and several other use cases • St Jude Children’s Hospital and Research Foundation • AssureRx Health
Suggested Requirements for an Advanced Pharmacogenomics Knowledge Base → Query-based, faceted search framework in cloud → Service Oriented Architecture (SOA) → Access to private / proprietary data as might be contained in primary data sources such from pharma, biotech, academia & publishers through a pre-competitive data-sharing community →Access to NLP-processed text from both longitudinal de-identified EHRs and www.clinicaltrials.gov →Access to public resources in cloud, including FAERS and iAEC, published literature, NCBI resources, etcetera → Allow users to enter their own clinical or experimental data, use ‘Apps Store’ and open-source analytics (R, Cytoscape, etc) →Provide heterogeneous database service, based on standards such as OWL-S (ontology web language service) and RDF