🧬 From Genes to Mechanisms: AI-Assisted Discovery across the Data Distillery Knowledge Graph
🎙️ Deanne Taylor, PhD
đź“Ł Viewers will learn how to:
Connect genetics to biology: Trace genes, regulatory variants, phenotypes, and disease associations across pathways, tissues, cellular contexts, and model-organism evidence using the Data Distillery Knowledge Graph (DDKG).
Ask biological questions more easily: See how ddkg.skill enables general-purpose AI assistants to translate research questions into reproducible DDKG graph queries—without requiring deep knowledge of the graph’s underlying structure.
Move toward testable mechanisms: Learn how integrated biomedical evidence and AI-assisted exploration can help researchers move beyond genetic associations to identify candidate pathways, biological mechanisms, and hypotheses for further investigation.
đź”— Explore https://dd-kg-ui.cfde.cloud/about
đź“ş Watch the recording: https://youtu.be/-DQPb0y67Xw
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