High-quality biomedical relationships knowledge is the cornerstone of modern and innovative data- and analytics-driven drug discovery. Yet this knowledge is locked in thousands of publications and dozens of databases. This session will show you how to unlock this knowledge and use it to strengthen your efforts in data science-driven drug discovery.

In this session, you'll learn about:

• High-quality biomedical relationships knowledge – what it is and how to access it
• Knowledge graphs and knowledge graph analysis
• Artificial intelligence (AI)-driven target identification and drug repositioning using knowledge graphs and biomedical relationships
• Disease subtyping and biomarker identification based on functional features
• Target, disease and drug intelligence portals: Application development and data integration leveraging biomedical relationships

Don't miss this opportunity to discover how to give your drug discovery programs a data science-driven advantage by leveraging high-quality biomedical relationships knowledge.

High-quality biomedical relationships knowledge is the cornerstone of modern and innovative data- and analytics-driven drug discovery. Yet this knowledge is locked in thousands of publications and dozens of databases. This session will show you how to unlock this knowledge and use it to strengthen your efforts in data science-driven drug discovery.

In this session, you'll learn about:

• High-quality biomedical relationships knowledge – what it is and how to access it
• Knowledge graphs and knowledge graph analysis
• Artificial intelligence (AI)-driven target identification and drug repositioning using knowledge graphs and biomedical relationships
• Disease subtyping and biomarker identification based on functional features
• Target, disease and drug intelligence portals: Application development and data integration leveraging biomedical relationships

Don't miss this opportunity to discover how to give your drug discovery programs a data science-driven advantage by leveraging high-quality biomedical relationships knowledge.