<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Whole-Slide-Imaging on Bioecon</title><link>https://en.bioecon.ru/technologies/whole-slide-imaging/</link><description>Recent content in Whole-Slide-Imaging on Bioecon</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 01 Jul 2026 00:11:51 +0700</lastBuildDate><atom:link href="https://en.bioecon.ru/technologies/whole-slide-imaging/index.xml" rel="self" type="application/rss+xml"/><item><title>AI pathology interpretation (computational pathology)</title><link>https://en.bioecon.ru/technology/ai-pathology-interpretation/</link><pubDate>Tue, 30 Jun 2026 00:00:00 +0000</pubDate><guid>https://en.bioecon.ru/technology/ai-pathology-interpretation/</guid><description>AI interpretation of digitized whole-slide histology images using self-supervised vision transformers and attention multiple-instance learning to detect tumour foci, grade cancer (Gleason) and predict molecular biomarkers (MSI, PD-L1) from morphology, cutting diagnosis time from days to minutes.</description></item></channel></rss>