Graph & AI for Healthcare Applications

Graph + AI Summit Industry and Partner Day on October 15, 2021

HubSpot Video

In this talk, we will survey applications of graph technology to leverage high-dimensional and connected data in the medical space. We’ll review examples of graph-powered deep learning, ML, visualization, analytics, and some of the open source and commercially available tools used for this work. Being able to traverse big data in healthcare is essential for research and development. Graph databases outperform traditional relational databases when it comes to connected data, making it easier to query and build efficient ETL pipelines. Graph ML and AI include graph neural networks, graph algorithms such as influence and community detection, as well as geospatial and time-series analysis.


  • Ana Areias, Kineviz