<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Science on Duly Noted</title><link>https://noted.jsrowe.com/tags/science/</link><description>Recent content in Science on Duly Noted</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 28 Dec 2025 01:06:23 +0000</lastBuildDate><atom:link href="https://noted.jsrowe.com/tags/science/feed.xml" rel="self" type="application/rss+xml"/><item><title>a good news story for AI and science</title><link>https://noted.jsrowe.com/a-good-news-story-for-ai-and-science/</link><pubDate>Sun, 28 Dec 2025 01:06:23 +0000</pubDate><guid>https://noted.jsrowe.com/a-good-news-story-for-ai-and-science/</guid><description>&lt;blockquote&gt;
&lt;p&gt;Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. Herein we present the development of a deep learning model by clinicians without coding, which predicts reported sex from retinal fundus photographs.&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;this is the kind of news I want to read. But knowing AI I wonder if it just figured out that one group was in a folder labeled &amp;ldquo;men&amp;rdquo; and another &amp;ldquo;women&amp;rdquo;. But regardless the biomarkers approach is cool!&lt;/p&gt;</description></item></channel></rss>