<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>disease modules on Wonderland of Deisy Gysi</title><link>https://deisygysi.github.io/tags/disease-modules/</link><description>Recent content in disease modules on Wonderland of Deisy Gysi</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://deisygysi.github.io/tags/disease-modules/index.xml" rel="self" type="application/rss+xml"/><item><title>Network Medicine</title><link>https://deisygysi.github.io/projects/network-medicine/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>https://deisygysi.github.io/projects/network-medicine/</guid><description>Summary Diseases are rarely caused by isolated genes. They emerge from perturbations that spread through interconnected molecular, cellular and physiological systems. Network medicine provides a framework for representing those systems and testing how their structure relates to disease mechanisms, comorbidities, diagnosis and treatment.
Our work expands the molecular maps used by network medicine and develops quantitative approaches for finding disease modules, comparing conditions and generating clinically relevant predictions. We are particularly interested in interactions mediated by non-coding RNAs and in integrating molecular evidence with clinical and population-level data.</description></item></channel></rss>