Discover clinical data products using Knowledge Graph | AWS Events

In healthcare and life sciences, we use myriad hierarchical ontologies to harmonize data for analysis. It can be time consuming to learn all relevant ontologies enough to use them when forming in analytical queries, typically in the form of SQL select statements. This problem is compounded in data mesh architectures where data product discoverability is challenging. In this session, learn how to build a knowledge graph that connects multiple clinical ontologies by disease concepts. Discover how to connect the combined ontology graph to a profile of a real-world data clinical repository. Find out how a clinical trial manager user can discover relevant data sources with this extended knowledge graph, using a semantic search and submit natural language queries using familiar disease concepts instead of embedding lists of SQL codes. AWS for life sciences: https://go.aws/476il57 Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWS #knowledgegraphs #lifesciences #EliLilly #AWSEvents