<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>#ProteinSequencing on Home</title>
    <link>https://yakinin.com/en/tags/%23proteinsequencing/</link>
    <description>Recent content in #ProteinSequencing on Home</description>
    <generator>Hugo -- 0.148.2</generator>
    <language>en</language>
    <lastBuildDate>Mon, 30 Jun 2025 16:49:48 +0000</lastBuildDate>
    <atom:link href="https://yakinin.com/en/tags/%23proteinsequencing/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>AI&#39;s Two Speeds: Why Biomedicine Is Leaping Forward While Business Lags Behind</title>
      <link>https://yakinin.com/en/posts/20232710-ai-biomedicine-vs-business/</link>
      <pubDate>Mon, 30 Jun 2025 16:49:48 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20232710-ai-biomedicine-vs-business/</guid>
      <description>&lt;div style=&#34;display: flex; justify-content: center; gap: 1em; flex-wrap: wrap;&#34;&gt;
  &lt;img src=&#34;https://yakinin.com/img/20232710-AI-biomedicine-vs-business.jpg&#34; style=&#34;max-width: 350px; width: 100%;&#34; /&gt;  
&lt;/div&gt;
&lt;p&gt;Artificial intelligence is accelerating biomedical discovery at a pace that seemed like science fiction just a few years ago. Where creating a new antibody, sequencing a protein, or detecting a tumor once took years, millions of dollars, and dozens of specialists, it now requires mere hours or weeks, driven by automation and radically different budgets.&lt;/p&gt;
&lt;p&gt;Consider these breakthroughs from June alone:&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
