Explore patient biomarker profiles across assays and vendors with a single solution
Duration: 30 minutes
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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® 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
https://www.quartz.bio/wp-content/uploads/2024/08/20230913-eBDM-Webinar-LP-Image.png12001200QuartzBio Team/wp-content/uploads/2024/06/quartz-bio.svgQuartzBio Team2023-08-11 15:29:582024-08-23 16:23:57Webinar: Unifying Clinical & Biomarker Data
October 31, 2022 – Translational and clinical teams spend more than 70% of their time managing, cleaning, and harmonizing data generated in biomarker-rich clinical programs.
In a recent webinar, Adam Brown demonstrated how the QuartzBio® enterprise Biomarker Data Management (eBDM) solution addresses one set of frequently intractable challenges: connecting raw, processed, and ancillary data across multiple clinical studies.
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.
The QuartzBio eBDM 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
As shown in Video 2, the QuartzBio eBDM 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.
The QuartzBio team can also further preprocess raw assay data directly and apply quality control metrics as well as normalization techniques. We can also extract relevant data and metadata from PDFs, such as omics reports and informed consent forms.
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 Data Management application 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.
https://www.quartz.bio/wp-content/uploads/2024/08/10312022-Webinar-featured-image.png10801080QuartzBio Team/wp-content/uploads/2024/06/quartz-bio.svgQuartzBio Team2022-10-31 14:32:362024-08-07 14:36:25Connecting Raw, Processed, and Ancillary Data with a Biomarker Data Management Solution
May 5, 2021 — As the data generated during a modern clinical trial has dramatically expanded, sponsors must continuously evaluate novel approaches to help bridge the gap between millions of data points and breakthrough scientific insights (a goal we describe as delivering Translational Intelligence). One such example is assessing signatures of “hot” and “cold” tumors.