<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Diabetic-Retinopathy on Rachid Youven Zeghlache</title><link>https://youvenz.github.io/tags/diabetic-retinopathy/</link><description>Recent content in Diabetic-Retinopathy on Rachid Youven Zeghlache</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://youvenz.github.io/tags/diabetic-retinopathy/index.xml" rel="self" type="application/rss+xml"/><item><title>Predictive Medicine</title><link>https://youvenz.github.io/research/predictive-medicine/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://youvenz.github.io/research/predictive-medicine/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Predictive medicine applies machine learning to answer the clinical question: &lt;em&gt;what will happen to this patient?&lt;/em&gt; Rather than diagnosing the current state, predictive models estimate the probability and timeline of future events — disease progression, treatment response, or transition to a more severe stage.&lt;/p&gt;
&lt;h2 id="clinical-applications"&gt;Clinical applications&lt;/h2&gt;
&lt;h3 id="diabetic-retinopathy-progression"&gt;Diabetic Retinopathy Progression&lt;/h3&gt;
&lt;p&gt;Diabetic retinopathy is the leading cause of blindness in working-age adults globally. My research builds end-to-end deep learning pipelines that process sequential retinal fundus images and OCT scans to predict whether a patient will progress to proliferative DR or develop diabetic macular oedema within a given follow-up window.&lt;/p&gt;</description></item></channel></rss>