Clinical trials today frequently generate complex exploratory biomarker data, supported by a distributed network of specialty labs, which results in siloed data formats and inconsistent annotations across labs.
This “translational data chaos” is a persistent frustration, since any analysis requires intense manual curation and preparation of data.
In this 30-minute webinar, Adam Brown and Mike Waters demonstrate how integrating exploratory biomarker, PK, and clinical data silos in a translational hub enables teams to interrogate trends and identify insights as data is generated on-study.
You’ll see how a translational data hub enables teams to:
- Navigate vast exploratory data– explore trends and identify data points of interest with clinical annotations
- Surface insights– analyze biomarker trends in collaborative dashboards across subject IDs, time points, response status, and treatment groups
- Access data rapidly– point and click visualizations enable navigation to underlying raw data, including associated image files
- Interrogate cross assay– map to a common data dictionary to enable rapid interrogation of trends across assay modalities: within and across studies
During the presentation, our team will highlight how data integration technology, consisting of sophisticated connectors and scalable data workflows, enables the rapid assimilation and synthesis of historically disparate data.
Who will benefit?:
Translational research teams, Biomarker strategy teams, Clinical development teams, office of the CIO/CTO, Data management teams