Pharmiweb discusses how graph databases can help probe complex pharma datasets, authored by Emil Eifrem, CEO of Neo4j. The article gives examples of Medical and pharma use cases to spotlight graphs’ capabilities. Graph technology, thanks to its in-built capabilities to model complexity, scale and connections is rapidly becoming the chosen data tool for serious medical research. An excerpt:
The unique power of graph database technology lies in discovering relationships between data points and understanding them on a gargantuan scale. Research is about exploring the unknown. Diving into unchartered territories. This is why it is so good at enabling medical researchers to handle vast datasets as well as expose hidden patterns in areas such as new molecule research and large clinical trials that are so difficult to detect using SQL-based relational database management system (RDBMS) or other approaches.
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