- Optimize patient recruitment strategies - Learn from historical trials
- Validate biomarker strategy
- Build virtual cohorts to validate hypotheses
Accelerate clinical development
- Reduce clinical trial planning time - Facilitate faster decision-making - Consolidate data across CROs
Optimize portfolio efficiency
- Terminate "low success" projects earlier - Identify opportunities for drug repositioning and indication expansion - Develop insights into patient outcomes
Mitigate risk for clinical trial planning
- Mitigate the risk of costly protocol amendments - Remove single points of failure
- Avoid the purchase of duplicate datasets
- Improve regulatory submissions
Applications
Clinical Trial Design
DISQOVER's Clinical Trial Design application supports clinical trial designers and other relevant profiles in accessing all the data needed for optimized decision making within clinical development. With the power of linked data, users can ensure their design decisions will drive trial efficiencies and success.
What can be accomplished in the Clinical Trial Design application?
Understand historical design and protocols,includingpatient populations, outcomes, endpoints, biomarkers,inclusion/exclusion criteria.
Understand competitionfor patients based on recruitingtrial.
Benchmark enrollment timelinesbased on historical siteperformance.
Estimate trial timelinesbased on historical site performanceand patient accessibility.
Identify investigatorswith a proven track record forenrolling patients in trials.
Application key features
Advanced filtering and search
Visualize trends and enrollment timelines
Export clinical trial details and compare
Integrated public and private clinical trial data
NLP enriched patient population
NLP enriched biomarker data
Alerts if new results with same criteria appears
DISQOVER's integrated and harmonized data outputs can easily be fed into AI/ML algorithms.
Clinical Insights
DISQOVER's Clinical Insights applications helps translational researchers and other profiles access the necessary data to support them in improving the efficacy and safety of treatments and generating repurposing opportunities. Easily examine clinical and associated data, identify biomarkers, analyze clinical trial outcomes, and more.
What can be accomplished in the Clinical Insights application?
Investigate biomarker strategy.
Explore hypotheses on cohort selection, inclusion/exclusion criteria.
Identify relationships across studies to find new insights.
Confirm patient informed consent.
Search virtual cohort across study, available data assets to validate hypothesis (e.g., biomarker, adverse event, precision medicine...).
Key features
Advanced filtering and search
Linked data across study, across datasets, across CROs
NLP/text mining publications (biomarker)
NLP informed consent
Data exploration: adverse event, distribution, experimental data
Data permissions
DISQOVER's integrated and harmonized data outputs can easily be fed into AI/ML algorithms.
Demo
Biomarker section
From the vast amount of data sources, it can be hard to identify biomarkers optimally. In this demo video learn how DISQOVER can help you and your team with your biomarker process.
DISQOVER and NLP
Quickly find and analyze information about specific biological entities (such as diseases, genes, proteins, and more), populations, interventions, and outcomes that are mentioned in large volumes of text data.
With DISQOVER for Clinical enhanced with NLP, users can extract valuable insights and knowledge from both structured and unstructured text data, including scientific literature, news articles, clinical trials, and more. Data sources therefore include amongst others publicly available clinical studies and publications and internal document repositories CTMS.
Key benefits of DISQOVER's NLP functionality:
Process private and public data with pre-configured yet adjustable annotators
One-stop-shop: one single solution for structured AND unstructured data
Modular and flexible: deploy NLP for a single use case or for multiple use cases at once
Expert team of data scientists, machine learning engineers, and bio-informaticians available to support with implementation and user roll-out.
Power up your clinical development with data-driven insights
With DISQOVER for Clinical, part of ONTOFORCE's intuitive knowledge discovery platform, users can leverage data and insights to drive efficient and effective clInical trial design and identify new portfolio opportunities.
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