Webinar: Evidence-Driven Target Discovery Using Knowledge Graphs for Disease State Transitions
Hi folks! You can identify the 2 to 5 targets most likely to advance from in-silico models to in-vivo studies and further one candidate that will translate to clinical studies. Tomorrow, in our live webinar, we will share a framework required to select the exact targets that successfully validate. Register now to join and learn how to:
Automate evidence extraction: Pull context-rich data from full-text papers to bypass manual curation bottlenecks.
Establish biological context: Find the exact mechanistic proof required to understand disease progression.
Connect data to AI: Integrate trusted evidence into your current AI tools via MCP servers to test hypotheses in real time.
This approach helps teams easily compare candidates, eliminate weak targets early, and construct a defensible shortlist. Can’t attend live? Register, and we will send you the recording.