<?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 Bioecon</title><link>https://en.bioecon.ru/technologies/ai-driven-biomarker-discovery/</link><description>Recent content in Ai-Driven-Biomarker-Discovery on Bioecon</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 18 Sep 2026 22:32:37 +0700</lastBuildDate><atom:link href="https://en.bioecon.ru/technologies/ai-driven-biomarker-discovery/index.xml" rel="self" type="application/rss+xml"/><item><title>AI-driven biomarker discovery</title><link>https://en.bioecon.ru/technology/ai-driven-biomarker-discovery/</link><pubDate>Fri, 18 Sep 2026 14:00:00 +0000</pubDate><guid>https://en.bioecon.ru/technology/ai-driven-biomarker-discovery/</guid><description>Machine learning over population-scale molecular data that turns weak signals — methylation patterns, mutation signatures, multimodal profiles — into clinical biomarkers. The table carries two vendors with fully sourced dossier ledgers; the wider platform field is named in the note, not padded into the table.</description></item></channel></rss>