<?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/2ba06309b3da4d6a84eece637d091112&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/2ba06309b3da4d6a84eece637d091112-a3cb6cf87e7a6ab2.gif</thumbnail_url><duration>1180.9178</duration><title>FDA_MAUDE STAR Presentation</title><description>In the video, I discuss the challenges of categorizing and analyzing adverse events related to medical devices. I explain how manual classification of reports can be time-consuming and inefficient, leading to the need for automated tools like Cortex. I demonstrate how Cortex can enrich data, classify reports, and visualize information to make it more relevant and accessible to specific users. No action is requested from the viewers.</description></oembed>