Webinar on Using Knowledge Graphs and Mechanistic Evidence for Target Discovery in AML
Hey guys, Most knowledge graphs miss a critical piece of the puzzle: the mechanistic evidence buried deep within full-text papers, supplementary tables, and figure legends. At Elucidata, my team is changing this. We are also building MCPs that connect these evidence-rich knowledge graphs directly to AI assistants like Claude and ChatGPT. On July 14th, join our Senior Product Manager, Jainik Dedhia, and Scientific Manager, Krishna Patel, for an exclusive webinar demonstrating this workflow in action, in the specific context of AML. They are asking the question "What pushes a leukemic blast out of a self-renewing, differentiation-arrested state and onto a myeloid differentiation trajectory?" What you will see during the session:
AML Case Study: How we reconstructed disease-state transitions in Acute Myeloid Leukemia (AML).
Live Demonstration: How our MCP connections enable scientists to query mechanistic evidence