Drug Repurposing

Using a graph-based knowledge layer to connect fragmented R&D data and support drug repurposing decisions.

Data requirements

• Pre-clinical data — Named as part of the connected workflow context.
• Regulatory workflow data — Named as part of the connected workflow context.
• R&D knowledge — The graph ecosystem connects fragmented R&D knowledge across the process.

AI methods and techniques

• GraphRAG — Used to retrieve context from the connected knowledge graph.
• Agentic AI — Used on top of the graph ecosystem to support use cases such as drug repurposing.
• Knowledge graph modeling — Used to connect fragmented R&D data across workflows.
• MCP — Used to connect agents with the data and tools in the environment.

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Merck Group.