Data4Cure Use Cases Clinical Trial Analysis
For translational & biomarker teams

Get more from every clinical trial.

Multidimensional, systems-biology and machine-learning analysis of trial data — omics, clinical and pathology combined, then contextualized against thousands of prior studies in the CURIE Knowledge Graph™ to surface response and resistance signals a single trial can’t reveal alone.

Overview

Built for the analysts who live in trial data.

Clinical trials generate rich, multi-modal data — biomarker panels, omics measurements, clinical endpoints, adverse events. Most analytics platforms force you to pick one slice.

The Biomedical Intelligence® App Engine lets you keep everything connected: explore biomarker effects across arms, identify subpopulations that responded, contextualize findings against the millions of prior measurements already in the graph.

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Built for the analysts who live in trial data.

Every analysis your team runs adds to your own growing knowledge — so the next trial starts with more context than the last.

App Engine CURIE Graph™ Multi-omics integration Survival modeling
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See Clinical Trial Analysis in action.

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