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Structured Evidence Transforms Target Selection at a Leading Pharma

How a global pharmaceutical company deployed Galactic Data across its discovery pipeline to improve portfolio value by hundreds of millions in expected NPV while cutting scholarship time by 72%.

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+$246.5M
pipeline value protected
72%
reduction in manual curation time
40%
faster target shortlisting
+13.6%
improvement in trial success rate

From manual literature synthesis to evidence-scored target selection

Open each section to explore the challenge this client faced, how Galactic Data was deployed, and the measurable outcomes delivered.

A leading global pharmaceutical company needed to accelerate and deepen biological and clinical insights from publications, clinical trials and patent data at a scale and speed that manual literature review could not sustain. High target attrition rates were eroding portfolio value and increasing the cost of late-stage development failures.

Biorelate's causal knowledge graph was deployed to integrate multi-omic datasets with curated literature evidence, enabling automated hypothesis generation and target scoring. The platform provided biologists with ranked, evidence-backed target lists, reducing dependence on manual expert review.

Biorelate's causal knowledge graph was deployed to integrate multi-omic datasets with curated literature evidence, enabling automated hypothesis generation and target scoring. The platform provided biologists with ranked, evidence-backed target lists, reducing dependence on manual expert review.

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