video1.0<iframe src="https://www.loom.com/embed/544e617a5a0643d7841c73dcd8930385" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/544e617a5a0643d7841c73dcd8930385-bb3f5894ede668a3.gif246.77Hi everyone, in this video, I present a demo of my Drug Discovery Agent, a multi-agent evidence collection project that takes a gene or disease as input and generates a therapeutic report based on collected evidence. I explain the system's workflow, which includes various agents like the planning agent, evidence collector, normalization agent, scoring agent, and explanation agent, all working together to provide a comprehensive analysis. During the live demo, I showcase how the user interface validates queries, creates plans, and assesses evidence from multiple sources. I also highlight the dashboard that shows the contribution of each source to the evidence report. I encourage you to watch the demo to understand the capabilities of this innovative tool.