<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AIinHealthcare on Aneesh Sathe</title><link>https://aneeshsathe.com/tags/aiinhealthcare/</link><description>Recent content in AIinHealthcare on Aneesh Sathe</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 05 Jan 2025 14:00:00 +0000</lastBuildDate><atom:link href="https://aneeshsathe.com/tags/aiinhealthcare/index.xml" rel="self" type="application/rss+xml"/><item><title>Jan. 5, 2025</title><link>https://aneeshsathe.com/jan-5-2025/</link><pubDate>Sun, 05 Jan 2025 14:00:00 +0000</pubDate><guid>https://aneeshsathe.com/jan-5-2025/</guid><description>&lt;h4 id="improving-research-through-safer-learning-from-data"&gt;
&lt;a href="https://www.fharrell.com/post/improve-research/"&gt;Improving Research Through Safer Learning from Data&lt;/a&gt;
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&lt;/h4&gt;
&lt;p&gt;Another one of &lt;a href="https://www.fharrell.com/"&gt;Frank Harrell&lt;/a&gt;&amp;rsquo;s posts. Given my day job, and the R&amp;amp;D background this one is quite close to home. As a team leader on the industry side one hopes to build a culture with the team that aligns scientific rigor with company goals. Any method, statistical or cultural (in this case both), that solves for this tension will get you the most bang for your buck.&lt;/p&gt;</description></item></channel></rss>