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Build better knowledge graphs with millions of novel high quality cause-and-effect relationships and contextual data
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Novel evidence to explain diseases and hypothesise treatment approaches
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Identify novel pharmacodynamic biomarkers from > 40 million documents
Target Selection
Infer drug-target-disease cause-and-effect relationships to ID novel targets and validate existing hypotheses
Indication Expansion
Use data annotations to identify diseases directly connected to a target based on well-established literature evidence
Knowledge Reviews
Systematically retrieve all relevant information to support go/no-go decisions
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Knowledge Graphs in Drug Discovery
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News
Making AI Work for Drug Discovery: A Joined-up Approach
Making AI Work for Drug Discovery: A Joined-up Approach
CSO, Ben Sidders, PhD speaks with the Journal for Clinical Studies
April 9, 2025
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5 min read
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