Case Study: Leading North American Biotech Company accelerates cancer target discovery with Ontotext

A Leading North American Biotech Company Advanced Its Fight Against Cancer by Using Ontotext Target Discovery

A Leading North American Biotech Company needed to speed up cancer immunotherapy research and compare hundreds of therapeutic target candidates more efficiently. Working with Ontotext, the company sought a way to centralize biomedical knowledge, reduce manual literature mining, and enrich its proprietary data to improve target selection and decision-making.

Ontotext implemented its AI-powered Target Discovery solution, using GraphDB, LinkedLifeData Inventory, tailored NLP pipelines, and graph algorithms to unify structured and unstructured data from more than 80 million documents. The result was more than 10x faster discovery of novel insights, over 1000% faster hypothesis generation and evaluation, and lower risk in new research by automatically ranking candidates with transparent provenance and confidence metrics.