<?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/02900e0fedc34d7b90a17cbf8116842f&quot; frameborder=&quot;0&quot; width=&quot;1818&quot; height=&quot;1363&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1363</height><width>1818</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1363</thumbnail_height><thumbnail_width>1818</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/02900e0fedc34d7b90a17cbf8116842f-bcbca7ec4b37123c.gif</thumbnail_url><duration>205.354</duration><title>Enhancing MedAffairs with PubMed Integration and AI Insights</title><description>In this video, I showcase a new workflow we developed with Ryan that leverages our PubMed connection to support MedAffairs and enhance our understanding of current publications. We structured queries using an LLM to fetch full-text articles and compared outputs from different models, focusing on AML therapeutics versus bone marrow transplant. I also demonstrated how quickly we can generate insights, such as treatment patterns for GILLIAD&apos;s new HIV drug. I encourage you to explore this tool further, as it can be deployed on mobile for easy access. Your feedback on this prototype would be greatly appreciated!</description></oembed>