Oct 27, 2026
Clinical trial results rarely tell the full story at the indication level.
Outcomes are often reported across broad patient populations, making it time-consuming to identify which results relate to the specific disease indications, patient segments, and biomarker-defined cohorts that matter to your research. Finding and comparing that evidence can require considerable manual filtering, validation, and cross-checking.
Clinical Trial Segmentation is coming to Beacon to change that.
The new functionality will allow you to search and compare clinical trial outcomes by disease indication and patient segment, bringing greater context and precision to clinical analysis.
“Ultimately, Clinical Trial Segmentation makes it easier to move beyond broad clinical trial results and uncover the patient-level context behind clinical outcomes, with less cross-checking and manual curation.”
Andy Williams, Director of Data Products
Move from Broad Trial Results to Targeted Evidence
Clinical Trial Segmentation introduces greater granularity in how trial outcome data can be explored in Beacon.
You will be able to filter trial results by disease and patient segment, surface trials reporting results for specific biomarker-defined populations, and review endpoints side by side across clinically meaningful cohorts.
This is particularly valuable when working with complex basket trials and biomarker-defined populations, where understanding which clinical result belongs to which patient population and disease indication is essential to making meaningful comparisons.
Search
Filter clinical trial results by disease indication and patient segment, helping narrow the analysis to the populations most relevant to your research.
Surface
Spotlight trials with results for specific biomarker-defined populations and understand outcomes beyond broad indication-level reporting.
Compare
Review endpoints side by side across clinically meaningful cohorts, helping identify differences between biomarker-defined groups and evaluate treatment performance across distinct patient populations.
Clinical Evidence with Greater Context
By organizing trial outcome data around both disease indication and patient segment, Clinical Trial Segmentation helps you:
- Perform more granular analysis: Understand trial outcomes beyond indication-level reporting.
- Reduce manual review: Compare relevant cohorts without reviewing every trial manually.
- Conduct biomarker-led analysis: Evaluate response outcomes within clinically relevant patient populations.
- Make sharper assessments: Focus development and competitive assessment on the cohorts most relevant to the question at hand.
Ready to Target with Precision?
Download the Clinical Trial Segmentation flyer to see how the new functionality will help you refine patient targets, surface relevant clinical results, and compare outcomes across meaningful patient cohorts.
