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Leveraging the QIAGEN Knowledge Graph and causal embeddings for insights into drug repurposing
By connecting diverse entities and relationships, biomedical knowledge graphs hold the potential to uncover new insights from existing data. This webinar introduces a machine learning-based approach that utilizes causal interactions from the QIAGEN Knowledge Graph to predict novel drug-disease relationships and construct networks that capture relevant supporting evidence. We will present examples that showcase the application of this approach in the context of drug repurposing.
58:30 minutes
Tags: biomedical knowledge base
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