Built using state of the art Big Data technologies – PerkinElmer Signals™ Translational stages your clinical and translation data in the most effective way possible for cross-study cohort selection and analytics.
Our translational research solution is designed to semantically harmonize, intuitively search and effectively aggregate your data for ad-hoc cohort selection- ready for testing your biomarker hypothesis for patient stratification. This self-service data querying is further enhanced by integration with Translational Analytics- making the data flow from searching to aggregation to retrieval to guided analytics seamless- A turnkey solution for data searching, aggregation, analytics and Patient Stratification!
Enable seamless data access for on-demand querying, data aggregation and integrated Translational analytics for cross-study analysis to perform cross-study analysis and apply best-practices for patient stratification. Determined to break data silos, the collaborative framework is ideal for effective integration of data from private and public data sources using its flexible yet robust information model.
PerkinElmer Signals Translational's data staging capabilities include
The delivery of effective therapeutics requires new approaches to data mining and this can be riddled with challenges. Read about how PerkinElmer Signals™ Translational, an integrated solution that streamlines data integration, harmonization and analytics helped researchers at the Frederick National Laboratory for Cancer Research (FNL) - sponsored by the National Cancer Institute (NCI)- to interrogate complex data from a study designed to evaluate the therapeutic potential of combining FDA-approved oncology drugs.