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AI-powered knowledge graphs for next-generation biomedical decisions
Speakers
Knowledge graphs offer a powerful solution to connect vast amounts of biomedical data meaningfully, and accelerate discovery. By uncovering relationships across genes, pathways, diseases, drugs, biomarkers, adverse events, and clinical evidence, they enable intuitive exploration, explainable insights, and scalable analytics that directly support target discovery, mechanism of action studies, safety assessment, and translational research.
This webinar introduces a biomedical knowledge graph, a high quality, curated resource containing more than 2.4 million nodes and over 10 million edges, integrating trusted Clarivate content from CDDI, MetaBase and OFF-X and answers the following questions:
- What are the key advantages of using knowledge graphs for biomedical research?
- What differentiates Clarivate’s biomedical knowledge graph from other approaches?
- How can AI and natural language querying be applied to explore complex biomedical data?
