Connecting Raw, Processed, and Ancillary Data with a Biomarker Data Management Solution

Translational and clinical teams spend more than 70% of their time managing, cleaning, and harmonizing data generated in biomarker-rich clinical programs. In a recent webinar, Adam Brown demonstrated how the QuartzBio® enterprise Biomarker Data Management (eBDM) solution addresses one set of frequently intractable challenges: connecting raw, processed, and ancillary data across multiple clinical studies. Read More →

Webinar: Overcoming Biomarker Data Chaos with a Single Data Platform

Duration: 30 minutes

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Translational and clinical research teams spend more than 70% of their time wrangling information from disconnected clinical trial data sets.

Data ends up in silos, making it hard to compile information and surface insights.

Watch this short webinar, where Adam Brown and Mike Waters will demonstrate how integrating exploratory biomarker, PK, and clinical data in a unified data platform enables teams to interrogate trends and identify insights as data is generated on-study. 

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Webinar: Monitoring Site and Vendor Performance Metrics Across Studies

Duration: 30 minutes

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Summary

Clinical and translational teams must monitor biomarker samples across global site footprints and dispersed networks of labs and biorepositories.

It's easy to get bogged down by managing the day-to-day requirements of keeping studies on track. With samples as the critical first step toward data generation, modern trials demand a unified approach for evaluating vendor and site performance and their impact on sample operations.

Join our webinar to learn how our team Read More →

Webinar On Demand: Critical Biomarker Operations KPIs Across Clinical Portfolios

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Title: Critical Biomarker Operations KPIs Across Clinical Portfolios

Duration: 30 minutes

Clinical and biomarker operations teams face challenges with global site footprints, complex sample lifecycles, and inconsistent naming across sites and vendors.

Watch our webinar to learn how teams are monitoring key performance indicators (KPIs) for clinical sample status, quality, and data availability – on-study and across clinical portfolios.

Adam S. Brown, PhD of QuartzBio will share how teams are assessing key deliverables:

  • Site performance including collection rates, collection quality metrics, and Read More →

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