Use cases
Use cases
Knowledge Graphs
Build better knowledge graphs with millions of novel high quality cause-and-effect relationships and contextual data
MoA & Explainability
Novel evidence to explain diseases and hypothesise treatment approaches
Biomarker Selection
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
Solutions
Solutions
Data scientists
The most novel knowledge graph of rich, unique data
Biologists
Novel targets and never-before-seen biological research evidence
Information Managers
The forefront of federated architecture and GenAI
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Resources
Resources
News
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Downloads
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Webinars
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Knowledge Graphs in Drug Discovery
Virtual conference series
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Request demo
News
Super models: A framework to optimise R&D success with AI, PharmaTimes
Super models: A framework to optimise R&D success with AI, PharmaTimes
Dr Ben Sidders, Chief Scientific Officer at Biorelate
October 23, 2024
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5 min read
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