<?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/eb5acb565db949dfa24ede8775017f4d&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/eb5acb565db949dfa24ede8775017f4d-7933142eddcbca07.gif</thumbnail_url><duration>106.955</duration><title>AI Clinical Trial Manager for Lung Cancer</title><description>This Loom explains an AI powered Clinical Trial Manager that automates the Phase 2 clinical trial eligibility workflow for healthcare providers. The presenter shows a Streamlit UI where they enter a target condition of lung cancer and paste unstructured electronic health records, then click Find Matching Trials. The FastAPI backend queries ClinicalTrials.Gov to fetch trials with eligibility assessed against active requirements, and Gemini analyzes the fit and provides clear reasons. One example shows the first criteria as ineligible for carbonyl therapy with a 15% chance.</description></oembed>