QuartzBio enterprise Biomarker Data Management webinar Sept 2023

Webinar: Unifying Clinical & Biomarker Data

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. Read More →
QuartzBio Digitizing Biomarker Operations webinar June 2023

Webinar On Demand: Digitizing Biomarker Operations​–Tools to Track & Report Sample, Consent, Vendor, & Site KPIs Across Programs​

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.​ Read More →
AI-ML processes in drug development by QuartzBio 202305

Unleashing Innovative, AI/ML-Based Processes While Reducing Risks for Drug Development

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 Read More →
QuartzBio BioIT World image - FINAL

QuartzBio at Bio-IT World 2023: How to optimize data management for precision oncology

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. Read More →