Case Study: Global Collaboration Center in Massachusetts accelerates cancer target discovery with Ontotext Target Discovery

Global Collaboration Center in Massachusetts speeds target screening 10x with Ontotext

A team at the Global Collaboration Center in Massachusetts, a top biomedical research center, faced the challenge of manually evaluating over 5,000 potential gene targets for cancer research. This slow and tedious process required sifting through vast amounts of proprietary and public data to assess each gene's therapeutic relevance, novelty, and druggability, which consumed significant resources and delayed their wet lab validation process.

Ontotext implemented its Target Discovery solution to integrate and contextualize the center's proprietary data with over 30 public datasets. This provided AI-augmented analysis and advanced metrics, enabling researchers to swiftly identify and prioritize the most promising targets. As a result, Ontotext helped speed up the discovery of new therapeutic insights by a factor of 10 and reduced the target evaluation process for lab validation from days to minutes, saving the team several months of research.