Enhancing Medical Data Processing With Neo4j

Welcome to NODES 2024

Welcome to NODES 2024, the biggest graph community gathering dedicated to graph-powered apps and contextual AI with the latest GenAI innovations!

Join us on November 7, 2024, for a 24-hour free online conference accessible across all time zones and locations, catering to all levels of expertise.

Session Track:

Session Time: 10:00 pm - 10:30 pm November 7

Session description

In this session, we will demonstrate how Neo4j’s graph database technology enhances the management and processing of Medical Subject Headings (MeSH). By sharing practical insights and advanced techniques, we will illustrate the significant benefits of using graph databases for medical data. Attendees will learn how to overcome challenges with traditional methods, achieve faster data processing, and improve accuracy in medical research. This session is invaluable for data scientists, researchers, and healthcare professionals looking to optimize their workflows with innovative graph technology solutions.

Speaker

Tushar Nitave

Staff Software Engineer, Vivpro Corp.

Tushar Nitave is a Staff Software Engineer at Vivpro Corp, a leading provider of R&D Intelligence Assistants (RIA). He holds a master’s degree in computer science from the Illinois Institute of Technology, Chicago, and brings over four years of professional experience to his role. In addition to his work at Vivpro, Tushar serves as an Adjunct Faculty member at the University of Maryland School of Pharmacy’s Center for Translational Medicine, where he contributes to cutting-edge research and education in the medical field.