<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Guillamat‐Prats R | DataHealth Lab</title><link>https://datahealthlab.org/author/guillamatprats-r/</link><atom:link href="https://datahealthlab.org/author/guillamatprats-r/index.xml" rel="self" type="application/rss+xml"/><description>Guillamat‐Prats R</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 20 Oct 2018 00:00:00 +0000</lastBuildDate><image><url>https://datahealthlab.org/media/logo_hu1516086690449843499.png</url><title>Guillamat‐Prats R</title><link>https://datahealthlab.org/author/guillamatprats-r/</link></image><item><title>Appraisal of systemic inflammation and diagnostic markers in a porcine model of VAP: secondary analysis from a study on novel preventive strategies</title><link>https://datahealthlab.org/publication_all/libassig2018/</link><pubDate>Sat, 20 Oct 2018 00:00:00 +0000</pubDate><guid>https://datahealthlab.org/publication_all/libassig2018/</guid><description/></item></channel></rss>