Headed to ASHG 2026? Explore events featuring the Knowledge Portal Network!

Session Information
This session introduces open-access resources for human genetics developed within the NIH Common Fund Data Ecosystem (CFDE), an initiative that promotes reuse and integration of data and resources generated by NIH Common Fund programs. Speakers will describe a series of CFDE resources that leverage artificial intelligence (AI) and knowledge graphs to promote data integration from disparate programs, including AI-ready cellular maps, protein-centric annotations, harmonized knowledge graphs, and LLM-assisted genomic exploration tools. The session will show how CFDE resources support integrative and reproducible analyses, and how AI and knowledge graphs can be leveraged more broadly for discovery within human genetics and biomedicine.

Learning Objectives
Describe how AI-driven integration and knowledge graphs in the Common Fund Data Ecosystem (CFDE) enable cross-connection of disparate resources
Assess how protein annotation, multimodal data harmonization, and gene-trait connections provide mechanistic insight
Apply conceptual approaches from Common Fund Data Ecosystem platforms to integrate multi-source data and enhance your own research

CEU Credits
1.50

Want to learn what’s new in the Knowledge Portal Network? Explore brand new data, visualizations, and community knowledge portals. Looking for a personalized demonstration of the resource? Ask one of the team members to see how you can advance your research. Contact help@kp4cd.org today to sign up for a personalized 1:1 session.

Join us October 21-23rd from 9:30 AM–4:30 PM!