Unifying Clinical + Biomarker Data

What you’ll learn:

Biomarkers, when used to guide clinical programs, could mean the difference between success and failure.

But exploratory biomarker data can be a headache to manage. Translational and data science teams struggle with disconnected data flows from specialty labs, sponsor data processing pipelines, and clinical data stores.

Join Bill Hall for a webinar demo of the QuartzBio^® enterprise Biomarker Data Management solution.

We’ll show you how to

• Generate patient profiles to view tumor burden over course of treatment
• Explore multi-marker views of patient profiles
• Review ancillary data (e.g. images)
• Evaluate patient profiles on a cohort level
• Cross-reference biomarker measures across file types; e.g., compare ctDNA profiles of interest with clinical efficacy biomarkers such as immunohistochemistry

Who should attend:

Translational Research teams, Biomarker Operations teams, Clinical/Biomarker Data Science teams, Clinical Development teams, Bioinformatics and Computational Biology teams, Office of the CIO/CTO, Data Management teams