The European Institute for Systems Biology and Medicine (EISBM) is utilizing Neo4j, a graph database, to manage data in systems biology and medicine. The focus is on personalized medicine, which involves participatory, predictive, personalized, and preventative approaches. EISBM's work includes projects such as the Coordinating Action Systems Medicine (CASYM) project, Unbiased Biomarkers in Predication of Respiratory Diseases Outcomes (U BIOPRED), and European Translational Information and Knowledge Management Services (eTRIKS). The organization is integrating data from various sources, including genomics, clinical, and epigenetics data, to facilitate the discovery of disease subtypes. Neo4j is used for data storage, mining, analysis, visualization, and exploration due to its ability to handle complex relationships between entities. The graph database approach enables the representation of protein-protein interactions, metabolic pathways, and epigenetic modifications in a scalable and accessible manner. EISBM's work aims to provide a platform for data integration, sharing, and discovery, ultimately contributing to the development of personalized medicine and improved patient outcomes.