<?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/c4ee054161464b63a6c21de98fb68932&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/c4ee054161464b63a6c21de98fb68932-00001.gif</thumbnail_url><duration>263.706</duration><title>Methodologies: Introduction</title><description>In this training, we will dive deeper into evaluating precision measures in Alice. We will explore how to identify meaningful measures for specific patient populations, using a project focused on patients with Parkinson&apos;s disease as an example. The training will guide you through the process of finding relevant measures in Atlas and understanding the importance of patient input. No action is requested from viewers, but the information provided will help in executing a clinical and multi-modal technology strategy.</description></oembed>