Webinars & Events Archives - Page 2 of 2

QuartzBio Connecting Raw Processed and Ancillary Data

Translational and clinical teams spend more than 70% of their time managing, cleaning, and harmonizing data generated in biomarker-rich clinical programs.

In a webinar now available on demand, we demonstrated how the QuartzBio® Biomarker Intelligence solution addresses one set of frequently intractable challenges: connecting raw, processed, and ancillary data across multiple clinical studies.

We invite you to sign up for on-demand access to the recorded webinar.

Multiple Assay Modalities, File Types, Data Storage Locations

As we have previously described, research teams are generating biomarker data from a wide variety of assay modalities, and this data can be housed in multiple, disconnected storage locations. In the example use case described in the webinar, data was being generated from targeted assays like flow cytometry and immunohistochemistry to high-throughput omics assays.

QuartzBio’s solution is specifically engineered to ingest, standardize, visualize, and analyze this data. The unified data platform connects raw and processed data to ancillary files, such as the images used for immunohistochemistry quantification or PDF omics reports. All of the raw files are available for download individually or in bulk. They can also be previewed directly within the user interface.

As shown in Video 1, the QuartzBio enterprise data platform can centralize and harmonize data from multiple file types across clinical programs, including:

Image files
Tabular files
Omics files, e.g., BAM or VCF files
Sequencing reports for particular mutations or genomic regions of interest

**Video 1** (Click image to view video): The enterprise data platform can centralize and harmonize data from multiple file types across clinical programs. Video demonstrates access to images, PDF files, and genomics data.

As shown in Video 2, QuartzBio’s solution can combine processed files with harmonized clinical annotations, with both subject and sample level data, as well as the relevant quantified reportables for a specific assay modality. These reportables are very configurable and can be changed according to the needs of a sponsor, a program, or even a specific study.

**Video 2** (Click image to view video): Processed files combine harmonized clinical annotations with both subject- and sample-level data.

The QuartzBio platform can also further preprocess raw assay data directly and apply quality control metrics as well as normalization techniques.

In summary, the webinar demonstrated how the biomarker data modules of the QuartzBio platform can enable easy access to both key raw and processed data assets through the user interface, in addition to robust visualization and data exploration capabilities.

Flexible Biomarker Data Management Means Faster Deployment

QuartzBio’s enterprise-grade Biomarker Intelligence provides a flexible, scalable solution for transforming biomarker data into consumable information across a sponsor’s entire study portfolio.

This resilient approach is enabled by a robust enterprise data platform with a library of pre-built, configuration-ready pipelines for data ingestion.

Contact us to learn more about data management SaaS solutions and let us know which additional features and capabilities you’d like featured in our next webinar.

Contact Us to Continue the Conversation

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 trials demand a unified approach for evaluating vendor and site performance and their impact on sample operations.

Join our webinar to learn how our team has been working with sponsor clients to create program- and enterprise-wide visibility into site and vendor metrics that inform future study planning.

We will show how clients are using key performance indicators (KPIs) including:

Protocol & consent deviations – compare planned vs actual events at sites and labs, including unexpected or unconsented sample collections
Turnaround times – monitor sample receipt to testing and data delivery
Sample handling & movements – uncover trends at sites and vendors, such as samples that have been delivered past processing windows
Sample metadata – including processing volume and quality metrics such as cell count and viability

You’ll see how teams are gaining visibility into these KPIs to streamline daily operations, while simultaneously revealing program-wide insights.

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About the presenter:

QuartzBio, part of Precision for Medicine, delivers software-as-a-service (SaaS) solutions to accelerate drug development.

Critical On-study biomarker KPIs - QuartzBio Webinar

Watch on Demand: Integrating Data Silos to Unlock Scientific Insights and Empower Translational Teams

Duration: 45 minutes

Sign up to watch the webinar on demand:

You will learn how to:

Expand your use of exploratory biomarker data in combination with clinical metadata for on-study analytics
Centralize integrated biomarker and clinical data as a single source of truth to expedite drug development decisions and enable translational exploration
Leverage dashboards to support collaboration and quickly surface actionable insights

Abstract of the Webinar

Today’s clinical trials have global footprints to reach targeted patient populations and rely on specialty labs running complex assays to assess safety, characterize patient response, and provide insight into efficacy.

These biomarker-centric programs demand a focused strategy to provide timely visibility into sample availability and quality, data availability and quality, and critical on-study measurements.

Much of the information necessary to deliver biomarker intelligence exists today – though it is dispersed across workstreams (e.g. sample, assay, clinical, consent) and stakeholders (e.g. CROs, sites, labs, sponsors) and systems (e.g. EDC, CTMS, LIMS).

Just as EDC adoption accelerated the centralization of clinical data, our team will highlight the opportunity to integrate and centralize biomarker data, the unique challenges that have historically faced the industry, and how overcoming these challenges can unlock transformative insights.

In this on-demand webinar, “Critical On-Study Biomarker KPIs for Modern Trials: Integrating Data Silos to Unlock Scientific Insights and Empower Translational Teams,” we will discuss the opportunity to expand the use of exploratory data for on-study insights. Topics to be covered include:

Centralizing integrated biomarker and clinical data as a single source of truth to enable insights into PK/PD effects as well as translational exploration
Leveraging dashboards to support collaboration and quickly surface actionable insights

Throughout the discussions, our team will highlight how smart technology, consisting of sophisticated connectors and scalable data workflows, enables the rapid assimilation and synthesis of historically disparate data. This use of technology enables insights today – rather than as the product of years long enterprise investments – and reduces the burden, frustrations, and delays associated with manual data reconciliation and a patchwork of homegrown solutions.

Watch the Webinar