video1.0<iframe src="https://www.loom.com/embed/76d58a0a84754b2e988931d0db5cedbc" frameborder="0" width="1114" height="835" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8351114Loomhttps://www.loom.com8351114https://cdn.loom.com/sessions/thumbnails/76d58a0a84754b2e988931d0db5cedbc-8c969c7468d2cc9b.gif230.74This Loom presents Teams to Rebro’s solution for the clinical trial matching problem. It explains that NIH trials and eligible patients currently lack a coordinated way to connect them, and shows a front end populated by persistent backend agents that ingest trials and patient data. During a demo scan, the agent ingests different clinical trials, makes some payments, and results in three patients and four new trials, with each match showing studies and eligibility reasons plus outreach and export options. The Loom also describes a knowledge graph built by the agents and shows that negotiations can run between a clinical trial agent and a patient agent with human in the loop while simulating autonomous operation via network logs.