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From 3-6 Weeks to 15 Minutes: AI-Powered Target Safety Assessments

A purpose-built AI workflow for Clinical Safety & Toxicology teams delivering 99% cost reduction and 95% time reduction per target safety assessment, with citation-accurate, regulatory-grade outputs.

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99%
reduction in literature mining costs
95%
time savings per review cycle
5-10x
increase in data volume processed
99%
citation accuracy maintained

Safety assessments that used to take weeks, now delivered in 15 minutes

Open each section to explore the bottleneck this team faced, how the custom Galactic Data workflow was built, and the outcomes achieved.

$25K and 3-6 weeks per assessment — unscalable as the portfolio grows

A top-5 pharmaceutical company's Clinical Safety and Toxicology team was spending significant resource on manual literature reviews to extract evidence for target validation and safety profiling. The process was slow, costly and difficult to scale as data volumes grew, creating bottlenecks across multiple research programmes.

A tailored AI pipeline: Target | Indication → RAG over Galactic Data graph → LLM summarization → Cited report

Biorelate deployed a purpose-built AI workflow combining NLP with structured biomedical ontologies to extract and normalise safety evidence from millions of publications at scale. Built around the 'Fail Early, Fail Cheap' principle, it surfaces safety signals at the target ID stage and integrates directly with existing workflows.

Orders-of-magnitude improvement in cost, time, and portfolio coverage

Biorelate deployed a purpose-built AI workflow combining NLP with structured biomedical ontologies to extract and normalise safety evidence from millions of publications at scale. Built around the 'Fail Early, Fail Cheap' principle, it surfaces safety signals at the target ID stage and integrates directly with existing workflows.

Ready to transform your safety assessment workflow?

We'll scope a custom Galactic Data workflow for your Clinical Safety & Toxicology team, specific to your target classes and regulatory context.