<?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/1b71f296ce10451f8de60a00c33d4d82&quot; frameborder=&quot;0&quot; width=&quot;1658&quot; height=&quot;1243&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1243</height><width>1658</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1243</thumbnail_height><thumbnail_width>1658</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1b71f296ce10451f8de60a00c33d4d82-bb0627d0358062fc.gif</thumbnail_url><duration>228.025</duration><title>MedGuard: An AI-Powered Tool for Medication Safety Analysis</title><description>Hi everyone, I&apos;m Bilal, and in this video, I present my submission for the Hugging Face Hackathon, called MedGuard, an AI-powered tool designed to enhance medication safety. With over 100,000 annual deaths in the U.S. due to drug interactions and $40 billion spent on preventable adverse drug use, our goal is to protect patients from inadvertent drug use. The tool utilizes a multi-agent system to analyze patient-specific factors and provide safety scores for medication administration. I encourage you to explore the demo and consider how this tool can be integrated into clinical practices. Thank you for watching!</description></oembed>