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Tag Archive for: computational biology

QuartzBio Webinar_Unify Clinical Biomarker Data
QuartzBio Webinar_Unify Clinical Biomarker Data

Explore patient biomarker profiles across assays and vendors with a single solution

Duration: 30 minutes

Sign up to watch the webinar:

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® Biomarker Intelligence (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

Watch Now >>

https://www.quartz.bio/wp-content/uploads/2023/08/LinkedIn_Webinar_Unify-Clinical-Bi-Data_1200x1200_2.jpg 1200 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2026/03/2026_QB-Logo_New-Brand_DK-Blue.svg QuartzBio Team2023-08-11 15:29:582026-03-12 17:26:13Webinar On Demand: Unifying Clinical & Biomarker Data

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QuartzBio is the only company purpose-built to deliver end-to-end Sample and Biomarker Intelligence for clinical-stage biopharma teams. Powered by a network of domain-specific AI agents, our solutions transform fragmented data into actionable intelligence, enabling conversational insights into your unified ecosystem of sample, clinical, and biomarker data.

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