Knowledge Graphs
Discover insights, validate hypotheses, and observe biological relationships through our highly curated data, ensuring accuracy and reliability
What is a Knowledge Graph and how are they useful in pharma and life sciences?
A Knowledge Graph (KG) is a structured, visual representation of information that seamlessly integrates vast datasets from various sources, empowering biological researchers in pharma and life sciences to uncover critical insights. By connecting genetic profiles, disease vulnerabilities, and drug efficacy, KGs enable more informed decision-making and accelerate breakthroughs in drug discovery and personalized medicine.
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What makes Clarivate Knowledge Graphs unique?
Trusted sources
Data sourced from our CDDI and Metabase platforms.
Reliable data
Highly curated data ensuring accuracy and reliability.
Advanced capabilities
Robust modeling with seamless integration of custom data to enhance flexibility, adaptability, and predictive capabilities.
How do researchers benefit from using Knowledge Graphs?
KGs go beyond generating insights and testing hypotheses—they are a powerful tool for biological researchers. With KGs, researchers can:
Informed decision-making
Enhance clinical decision-making with data-driven precision.
Learn disease characteristics
Deepen their understanding of disease mechanisms to unlock new therapeutic pathways.
Drive better outcomes
Accelerate innovation to deliver breakthrough treatments and improve patient outcomes.
Knowledge graphs have versatile and diverse applications
Explore our diverse set of Knowledge Graph use-cases for a better understanding of their purpose, value, and the outcomes they help deliver.
