<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anders Miki Bojesen | Global Pathogen Analysis Platform (GPAP) AI Research</title><link>https://gpap-project.github.io/author/anders-miki-bojesen/</link><atom:link href="https://gpap-project.github.io/author/anders-miki-bojesen/index.xml" rel="self" type="application/rss+xml"/><description>Anders Miki Bojesen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://gpap-project.github.io/media/logo.svg</url><title>Anders Miki Bojesen</title><link>https://gpap-project.github.io/author/anders-miki-bojesen/</link></image><item><title>Deep learning from videography as a tool for measuring E. coli infection in poultry</title><link>https://gpap-project.github.io/publication/scheidwasser-2025-deep/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/scheidwasser-2025-deep/</guid><description/></item></channel></rss>