Webinars & Events Archives - Page 3 of 4

Title: Advancing Clinical Sample Management with a Virtual Sample Repository

Duration: 30 minutes

You’ll see how a virtual repository delivered via QuartzBio’s translational hub provides visibility into clinical sample status:

Sample visibility across studies, central labs, third party vendors, biorepositories, and disparate source systems
KPI dashboards that report sample status including collection, processing, testing, consent, expiration – while highlighting collection gaps and discrepancies.
Dynamic visualizations to quickly review expected vs actual sample status by patient, time point, and assay type

Register for the webinar here

Title: Transcending Biomarker Data Chaos: How Integrating Disparate PK, Clinical & Exploratory Data Enables Deep Translational Insights

Duration: 30 minutes

You will see how teams unlock translational intelligence:

Navigate vast exploratory data – identify trends and data points of interest
Surface insights – analyze biomarker trends in collaborative dashboards across subject IDs, time points, response status, and treatment groups
Access data rapidly – point and click navigation to underlying data files to interrogate the raw data behind the summary values
Interrogate cross assay – map to a common data dictionary to enable rapid interrogation of trends across assay modalities: within and across studies

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Title: Overcoming Clinical Sample Chaos: A Critical Step in Biomarker-Rich Trials

Duration: 45 minutes

You’ll see how a technology-enabled approach to clinical sample inventory management delivers:

Sample KPI dashboards for clinical, translational, & data management teams
Visibility into sample collection, processing, and consent status
Dynamic visualizations to quickly review expected vs actual sample status by patient, time point, and assay type

Watch the webinar on demand:

Title: Translational Intelligence: Exploring IO Signatures in Clinical Trial Genomic Data

Duration: 30 minutes

You will learn how to:

Visualize gene alterations and tumor mutational burden (TMB) using heatmaps and tables, with subject and time point granularity.
Identify genes of interest and candidate signatures using visualization and statistical methods to relate clinical response data and gene expression data to regions of genomic alteration.
Correlate genomic data with known signatures of immuno-oncology (IO) response through integrations with public data, knowledgebases and sponsor data.
Define patient subgroups to generate deeper biological/ mechanistic insights.

March 8, 2021 — At last week’s SCOPE 2021 virtual summit for clinical operations executives and their partners, an overarching theme was the increased speed of clinical operations in response to the COVID-19 pandemic.

“Speed — is this the new normal? Can we as organizations support that ramped-up speed … with the resources that we all have?” asked moderator Michael Tanen, Director, Clinical Biomarker Specimen Management, Merck & Co., at Tuesday’s panel discussion in the Clinical Biomarkers Operations & Innovations track.

QuartzBio’s SVP of Data Management and Systems Integration, Tobi Guennel, joined leaders from Bristol-Myers Squibb, Eli Lilly, AbbVie, and Covance for this live panel.

March 5, 2021 — Applying algorithms to interconnected biomarker and clinical data can yield scientific insights, not only into therapeutic mechanisms, but also into predicting long-term response to treatment.

In a collaboration with investigators at Janssen, the QuartzBio team sought to identify genetic markers correlated with protection against chronic hepatitis B early relapse in patients after withdrawal from treatment. The team identified several genes that were, for the first time, associated with protection against early onset of relapse.

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Join QuartzBio at the SCOPE 2021 virtual conference for the “Clinical Biomarkers Operations and Innovation” track on March 2.

PRESENTATION: “Centralizing PK, Clinical, and Exploratory Biospecimen Data to Streamline Trial Operations & Intelligence”

Clinical samples are frequently a logistical headache – managed too often in Excel files that are time-consuming to update, and quickly fall out of date. Modern biomarker-centric programs demand a focused strategy to provide timely visibility into sample availability and quality.

Dr. Tobi Guennel will share how clinical teams are leveraging technology to quickly and efficiently gain visibility into their clinical samples across sites, labs, and storage facilities.

Critical On Study KPIs for Clinical Trials QuartzBio

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.

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September 21, 2020 — What does precision medicine actually mean and how can AI and ML impact it?

QuartzBio’s Renee Deehan and panelists explore AI and ML’s impact on precision medicine and what the industry needs to do to prepare for it, tackle challenges as they evolve and develop appropriate solutions.

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May 14, 2020 — Modern clinical trials distribute samples to an expanding range of screening labs, specialty labs, and bio-banking facilities. Maintaining visibility into sample collection and data processing too often requires manually comparing inventories from each lab’s LIMS, and then checking against what is expected according to the protocol.