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TORONTO (PRWEB) MARCH 09, 2020

Join featured speakers Dr. Simone Sharma, Strategic Lead-Translational Analytics at PerkinElmer Informatics and Dr. Ying (Sherry) Li, Associate Director, Translational Medicine IT Business Partner at Bristol-Myers Squibb, for a live session taking place on Tuesday, March 24, 2020 at 11am EDT (3pm GMT/UK).

A successful biomarker-driven clinical trial depends on optimal patient stratification. This is increasingly being restricted by the growing complexity, diversity and sheer size of translational medicine data. Empowering translational scientists to explore and analyze translational and clinical datasets for successful biomarker discovery is fraught with challenges. Furthermore, organizations need to establish best practices that adhere to FAIR guidelines for data management and data stewardship.

The presentation features a case study of BMS successfully integrating PerkinElmer Signals Translational whilst keeping the focus on FAIR guiding principles:

Findable: A collaborative framework for effective sharing of data, analytics and insights

Accessible: Universal data access for effective cross-study analysis of translational research and clinical data

Interoperable: Flexible yet robust information model that ensures harmonization of datasets for cross-study analysis

Repeatable: Establish best practices by creating and sharing repeatable analytics protocols (Powered by TIBCO Spotfire) to test and adapt hypotheses across the organization

The webinar will be suitable for Translational/ Biomarker Scientists and IT personnel as well as individuals with the following job titles:

Precision Medicine Group Leaders/Scientists

Translational Research Group Leaders/Scientists

Biomarker Programme Leaders/Scientist

Translational R&D IT Leaders

Bioinformatics Groups/Scientists

For more information or to register for this free presentation, visit PerkinElmer Signals Translational: All is FAIR in Biomarker Discovery and Patient Stratification.

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