DISQOVER's virtual cohort selection: fast, safe clinical development
Clinical trials generate large quantities of data. Reusing these data assets offers huge potential for creating virtual cohorts to test hypotheses and tailor study protocols for success. However, this data may be in different formats, spread across numerous repositories, and require weeks or months of effort from dedicated data science teams to locate and extract.
Enhanced data integration for building virtual cohorts
Virtual cohorts are an effective tool for predicting responses to novel therapeutics and establishing efficacious treatment strategies.
Building a virtual cohort is the process of identifying and assembling virtual patient groups for research or analysis by leveraging existing clinical trial data. Once assembled, researchers can test hypotheses, refine dose projections, assess potential drug combinations, and more, all before entering the clinic. This approach reduces the time and costs associated with traditional clinical trials.
With DISQOVER, clinical research teams can quickly assemble and analyze virtual cohorts from the existing data spread across an organization, ensuring data is effectively reused and repurposed.
Additionally, DISQOVER's user interface is designed to be accessible to clinical researchers regardless of their data science or knowledge graph experience, empowering them to explore, query and visualize data to generate insights without requiring a team of data scientists to help them. Fine-grained data provenance at the property level gives them confidence in the origin and provenance of that data.
How DISQOVER helps
Rapidly link data
DISQOVER’s data ingestion engine and knowledge graph allow users to link and integrate all relevant data sources from clinical trials, with an adaptable data model that can be extended to accommodate new data.
Accessible user interface
DISQOVER provides robust tools for data visualization and exploration, including powerful tabular views that allow users to build and examine comprehensive datasets from multiple trials and data types. Easily identify relevant population criteria, filter data, and export insights to other analytical tools.
Commitment to security and compliance
As an ISO-certified product, the platform features robust authentication and authorization protocols to ensure that only authorized personnel have access to sensitive patient data, maintaining a secure and trustworthy environment for all users.
Extensible and interoperable platform
The platform's interoperable architecture allows for extensive customization through plug-ins and third-party integrations. This flexibility enables direct interactions with external data request systems via the DISQOVER interface.
DISQOVER the leading knowledge discovery platform
Experience a live walkthrough of DISQOVER with one of our experts, and get to see how our powerful knowledge discovery platform can help you accelerate your drug development activities.
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