<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/1286b34df8284ae3b33890b3a0a59267&quot; frameborder=&quot;0&quot; width=&quot;1670&quot; height=&quot;1252&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1252</height><width>1670</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1252</thumbnail_height><thumbnail_width>1670</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1286b34df8284ae3b33890b3a0a59267-1719403648964.gif</thumbnail_url><duration>83.9</duration><title>Paper to Graph: Automating Knowledge Graph Creation 📊</title><description>In this video, I demonstrate how Paper to Graph can automatically read biology papers to create a knowledge graph. We explore how Trifluoparazine could be a potential Wilms tumor treatment by analyzing its relationships and connections. The tool allows us to query paths between different entities, aiding in discovering new drug repurposing opportunities. Action: Watch to see how we leverage this technology for biomedical research.</description></oembed>