Duration: 30 minutes Register for the Webinar: 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 […]
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Entries by Chandreyee.Das
Keeping track of clinical trial samples across multiple sites and vendors can be manual and tedious (recent post) — we have demonstrated how virtual Sample Inventory Management can streamline the day-to-day reporting of sample collections, shipments, and discrepancies (webinar series).
Duration: 30 minutes Register to Watch On Demand: 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 […]
Click below to watch the recorded webinar demonstrating how QuartzBio’s virtual Sample Inventory Management solution creates ongoing visibility into sample/derivative status, location, and vendor performance across studies.
The challenge: Maintaining clinical trial timelines dependent on vendor performance A global biotechnology company with seven clinical-phase programs approached QuartzBio with a challenge shared by many organizations in the industry — overall assessment of clinical trial vendors and sites was time-consuming and unreliable, given global site footprints, complex sample lifecycles, and inconsistent naming across sites […]
Register for the webinar here 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 […]
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