Watch on Demand: Integrating Data Silos to Unlock Scientific Insights and Empower Translational Teams
Duration: 45 minutes
Sign up to watch the webinar on demand:
You will learn how to:
- Expand your use of exploratory biomarker data in combination with clinical metadata for on-study analytics
- Centralize integrated biomarker and clinical data as a single source of truth to expedite drug development decisions and enable translational exploration
- Leverage dashboards to support collaboration and quickly surface actionable insights
Abstract of the Webinar
Today’s clinical trials have global footprints to reach targeted patient populations and rely on specialty labs running complex assays to assess safety, characterize patient response, and provide insight into efficacy.
These biomarker-centric programs demand a focused strategy to provide timely visibility into sample availability and quality, data availability and quality, and critical on-study measurements.
Much of the information necessary to deliver biomarker intelligence exists today – though it is dispersed across workstreams (e.g. sample, assay, clinical, consent) and stakeholders (e.g. CROs, sites, labs, sponsors) and systems (e.g. EDC, CTMS, LIMS).
Just as EDC adoption accelerated the centralization of clinical data, our team will highlight the opportunity to integrate and centralize biomarker data, the unique challenges that have historically faced the industry, and how overcoming these challenges can unlock transformative insights.
In this on-demand webinar, “Critical On-Study Biomarker KPIs for Modern Trials: Integrating Data Silos to Unlock Scientific Insights and Empower Translational Teams,” we will discuss the opportunity to expand the use of exploratory data for on-study insights. Topics to be covered include:
- Centralizing integrated biomarker and clinical data as a single source of truth to enable insights into PK/PD effects as well as translational exploration
- Leveraging dashboards to support collaboration and quickly surface actionable insights
Throughout the discussions, our team will highlight how smart technology, consisting of sophisticated connectors and scalable data workflows, enables the rapid assimilation and synthesis of historically disparate data. This use of technology enables insights today – rather than as the product of years long enterprise investments – and reduces the burden, frustrations, and delays associated with manual data reconciliation and a patchwork of homegrown solutions.
