Explore a comprehensive two-day workshop focused on leveraging graph technology in healthcare and life sciences. Dive into the power of connecting complex data for improved target discovery, drug safety evaluation, and clinical decision-making. Learn how to map common data models, build web applications, and analyze multi-omics data using Neo4j. Discover real-world case studies on pneumonia therapy response, cancer research, and bacterial genome analysis. Gain insights into advanced machine learning techniques, knowledge reconstruction platforms, and clinical proteomics frameworks. Engage with experts in the field and participate in panel discussions to deepen your understanding of graph databases in healthcare and life sciences applications.