Data4Cure Use Cases

One platform. Use cases across drug discovery.

From semantic data integration to predictive modeling, each use case is powered by the same Biomedical Intelligence® Cloud and the CURIE Knowledge Graph™ — so insights from one workflow strengthen every other.

A connected portfolio

Use cases that share a foundation.

Data4Cure use cases aren’t standalone applications. Each one runs on the Biomedical Intelligence Cloud, contributes to the CURIE Knowledge Graph, and reuses results from every other.

Identify a new target in one workflow, and the evidence becomes available to disease subtyping, drug repositioning, and predictive modeling in the next — without exports, re-formatting or pipeline gymnastics.

The use cases

From data to decisions.

Click any card to dive into the solution — capabilities, what it’s built on, and the apps powering it.

How they connect

A continuous flow from data to insight.

Use cases are organized around four stages of the discovery loop. Each stage feeds the next — and feeds back.

Stage 01  ·  Integrate

Get your data in one place. Harmonized and accessible.

Semantic Data Integration unifies multi-omics, clinical and literature into a searchable foundation.

Stage 02  ·  Analyze

Find structure in complexity.

Clinical Trial Analysis, Pathway & Network Analysis and Single-Cell Analysis extract signal from the mess.

Stage 03  ·  Discover

Find targets, subtypes and matches.

Target Discovery, Disease Subtypes and Drug Repositioning surface the discoveries hiding in your evidence.

Stage 04  ·  Predict

Model what comes next.

Predictive Modeling turns evidence into combinatorial biomarkers and interpretable outcome predictions.

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Find the solution
for your team.

Walk through our solution case studies with an applications scientist — focused on the questions that matter to you.