Case Study: Pharma: Accelerating R&D and Market Analysis

Scenario: A pharmaceutical giant wants to accelerate drug discovery, manage clinical trial data, and gauge market trends for drug safety and efficacy. They ask questions like:

• “Which compounds showed improved efficacy in Phase II trials but have not yet advanced to Phase III?”
• “How do recent adverse event reports correlate with patient demographics across studies?”

Challenges:

• Complex Biomedical Ontologies: Data spans molecular structures, trial outcomes, regulatory filings, and patient cohorts.
• Global Data Sources: Clinical data, research publications, and adverse event reporting systems must be linked.
• Entity Resolution Needs: Identifying the same molecule, drug name, or clinical trial across multiple databases is essential to avoid fragmented insights.

Solution with KGs & Entity Resolution: Knowledge Graphs model ontologies that connect compounds to trials, patients to demographics, and events to specific drugs. Entity resolution ensures consistent references. When an LLM-powered system receives a user question, it translates it into a well-structured SQL query, retrieving and contextualizing data for researchers, enabling faster hypothesis testing, and shortening time-to-market for new therapies.

An example with cognee

TBD