Can Knowledge Graphs Revolutionise Pharma R&D?

To address the increasing volume and complexity of data generated in drug discovery and clinical research, the sector is increasingly adopting an innovative data structure approach, the knowledge graph. Graph databases can tackle complex problems in drug discovery, multiomics, and clinical research by allowing researchers to store and analyse complex interconnected data such as relationships between genes, proteins, cells, and tissues, as well as help the sector get better at meeting standards like SDTM and AdaM.

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