<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Driven-Biomarker-Discovery on 生物经济</title><link>https://cn.bioecon.ru/technologies/ai-driven-biomarker-discovery/</link><description>Recent content in Ai-Driven-Biomarker-Discovery on 生物经济</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Fri, 25 Sep 2026 20:15:59 +0700</lastBuildDate><atom:link href="https://cn.bioecon.ru/technologies/ai-driven-biomarker-discovery/index.xml" rel="self" type="application/rss+xml"/><item><title>AI 驱动的生物标志物发现</title><link>https://cn.bioecon.ru/technology/ai-driven-biomarker-discovery/</link><pubDate>Fri, 18 Sep 2026 14:00:00 +0000</pubDate><guid>https://cn.bioecon.ru/technology/ai-driven-biomarker-discovery/</guid><description>在人群规模分子数据上运行的机器学习，把微弱信号——甲基化模式、突变特征、多模态画像——变成临床生物标志物。表中收录两家台账全溯源的供应商；更广的平台阵容在注记中点名，而非填充进表格。</description></item></channel></rss>