Accelerating Drug Discovery and Development With Graph Databases & Analytics Graph databases are reshaping drug discovery and biotech applications by efficiently capturing complex, interconnected data. This enables researchers to identify therapeutic targets, repurpose drugs, predict interactions, and explore off-target effects. Their unified framework facilitates comprehensive insights, biomarker discovery, and personalised medicine. Graph databases foster collaboration and knowledge sharing, breaking down silos among researchers. In clinical trials, they optimise patient cohort identification, trial design, and outcome analysis, leading to successful applications in drug repurposing, adverse reaction prediction, and molecular pathway exploration.
This presentation will showcase real-world examples where graph databases empower advancements in therapeutics, precision medicine, and personalised healthcare. Join us to explore how these databases are revolutionizing the landscape, accelerating breakthroughs, and shaping the future of medicine.
