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, and cross-reference biomarker measures across file types.
Join our webinar to learn how our clients, representing major biopharmas and biotechnology companies, have eliminated tedious data management processes and costly delays with the QuartzBio® virtual Sample Inventory Management SaaS solution.
AI/ML can be a powerful, error-reducing tool for managing clinical sample data as well as biomarker data.
AI/ML-based tools should not replace human judgment, particularly for insight generation, at least until AI/ML-based tools are extensively and rigorously validated (as any piece of critical software would be). Furthermore, regulatory compliance and data privacy are of utmost importance and must be considered when building and using solutions that leverage generative AI frameworks.
However, near-term applications of AI/ML can dramatically improve any tedious process involving a human inspecting data. We list some of these processes in the box below, along with steps we recommend taking to reduce risk in each case.
QuartzBio’s Adam S. Brown, PhD, Senior Director of Product Support, will join experts from Washington University and Dana Farber Cancer Institute in a panel discussion,
“Towards Precision Medicine: Oncological Applications of Data Integration” | May 18, 2:40 PM ET
The panelists will share ideas for how to bring oncologists together with data integration leaders to systematically assess factors contributing to disease.
Duration: 30 minutes Register to Watch Webinar On Demand: Biomarker data can be time-consuming to clean and prepare for analysis, because assay results data files are often disconnected and have inconsistent formats. This “data chaos” prevents translational, clinical, and bioinformatics teams from extracting insights to advance therapeutic development. Join the webinar led by Adam Brown and […]
Duration: 30 minutes Register to watch on demand: Complex sample operations, disparate vendors, inconsistent metadata across labs are common challenges sponsors face when keeping track of samples across clinical programs. Join our webinar to learn how sponsor teams are creating consistent, portfolio-level approaches for tracking sample status and location and uncovering insights into vendor/site/country-level performance.
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 […]
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 […]
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 […]
