DISQOVER FOR CLINICAL

Power up your clinical development with data-driven insights

Leverage data and insights to drive efficient and effective clinical trial design and identify new portfolio opportunities.

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Why DISQOVER for Clinical?

Increase clinical research success

- 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, including patient populations, outcomes, endpoints, biomarkers, inclusion/exclusion criteria.
Understand competition for patients based on recruiting trial.
Benchmark enrollment timelines based on historical site performance.
Estimate trial timelines based on historical site performance and patient accessibility.
Identify investigators with a proven track record for enrolling 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

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

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.

You choose - you either develop a custom annotator, or you use pre-configured annotators for: 

PICOS: Filter trials for specific patient parameters to support precision medicine research.
Biomedical: To improve diagnosis, treatment and health outcomes.

Implementation consists either of preprocessing or integration to your own DISQOVER data ingestion pipeline.

Learn more

ONTOFORCE DISQOVER Natural Language Processing (NLP) platform image

Leaflet

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.