Resilient Knowledge Management in Life Sciences
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Resilient Knowledge Management in Life Sciences
Knowledge Graphs, Semantic Integration, and AI-Driven Master Data
Overview
This whitepaper explores how mcube™ unifies regulatory and clinical data into a connected, AI-ready knowledge graph, providing a single source of truth. It details how a unified semantic fabric enables faster timelines, smarter outcomes, and traceable insights across R&D.
Key Insight
- Data silos unified with a FAIR-compliant semantic fabric
- Automate extraction and master data generation
- Enabling faster, insight-led regulatory and clinical decisions
- Reduce manual effort, improve compliance, and accelerate innovation
Connected intelligence across all domains
Automated regulatory & clinical data harmonization
Real-time access to cross-study insights
Audit-ready traceability, compliance and governance
AI-powered analytics and natural language query
Unified master data reducing rework