Driving scientific progress and innovation is challenging when crucial research and information are scattered across various—often gated—databases, spanning internal, public and commercial sources.

In this webinar, we discuss how the latest AI methods in combination with knowledge graph technology can help bring together global research knowledge, public data sets and internal knowledge bases to enhance research, scientific validation and target discovery processes.

We explore the capabilities of AI and knowledge graph technology in pharma by reviewing the Dimensions Knowledge Graph, powered by metaphactory, which was designed to help perform such analyses by connecting curated, well-established knowledge from public pharma ontologies and structured data sources with global research knowledge and unstructured information found in scientific texts.

→ Learn more about the Dimensions Knowledge Graph: [ Ссылка ]

→ Learn about metaphactory: [ Ссылка ]

→ Learn about Dimensions: [ Ссылка ]

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