{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/544e617a5a0643d7841c73dcd8930385\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/544e617a5a0643d7841c73dcd8930385-bb3f5894ede668a3.gif","duration":246.77,"title":"Introducing the Drug Discovery Agent: A Multi-Agent Evidence Collection System 🧬","description":"Hi 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."}