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 →
Meet a QuartzBio Employee: Mike Waters

Meet a QuartzBio Employee: Mike Waters

QuartzBio’s team has deep experience in technology-enabled solutions for the life science industry. In this blog series, we invited you to get to know a member of the QuartzBio team.

This month, we are delighted to talk with Mike Waters, QuartzBio Vice President of Sales. After learning about Mike here, please feel free to connect with him on LinkedIn.

  1. In your own words, what do you do?
    My team and I provide solutions to help pharmaceutical and biotechnology companies accelerate the development of new treatments for the patients that need them. We encourage our customers Read More →
20230201 vSIM Webinar QuartzBio Clinical Sample Chaos On Demand

Webinar: Clinical Sample Chaos – Tracking and Reporting Metrics Across Clinical Programs

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.

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ICF Codification QuartzBio

How a Flexible Approach to ICF Codification Reduces Complexity

Biospecimens collected as part of biomarker-informed clinical programs are precious resources for precision medicine research and development (R&D). However, the complexity of tracking and linking informed consent data at the sample and derivative levels limits the use of these biospecimens. In this post, we’ll explore how clinical teams can benefit from QuartzBio’s flexible approach to ICF codification to reduce complexity, gain more value from their stored samples, and help turn their biorepositories into drug development engines. Read More →