<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Startup | Ioannis Mouratidis</title><link>https://ioannis-mouratidis.github.io/tags/Startup/</link><atom:link href="https://ioannis-mouratidis.github.io/tags/Startup/index.xml" rel="self" type="application/rss+xml"/><description>Startup</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2022 00:00:00 +0000</lastBuildDate><image><url>https://ioannis-mouratidis.github.io/media/icon_hu_899445b689d8f445.png</url><title>Startup</title><link>https://ioannis-mouratidis.github.io/tags/Startup/</link></image><item><title>Neomer Diagnostics</title><link>https://ioannis-mouratidis.github.io/projects/neomer-diagnostics/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://ioannis-mouratidis.github.io/projects/neomer-diagnostics/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Co-founded Neomer Diagnostics in 2022 as Chief Technical Officer to translate patented nullomer research into a clinical cancer detection platform. The company developed machine learning pipelines for detecting cancer from liquid biopsies.&lt;/p&gt;
&lt;h2 id="role--achievements"&gt;Role &amp;amp; Achievements&lt;/h2&gt;
&lt;p&gt;As CTO, I:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Developed ML pipeline in Bash, Julia, Python, and Slurm for cancer detection from liquid biopsies&lt;/li&gt;
&lt;li&gt;Achieved AUC ranging from 0.89 to 0.94 in lung and ovarian cancers&lt;/li&gt;
&lt;li&gt;Established regulatory roadmap for clinical validation and FDA approval&lt;/li&gt;
&lt;li&gt;Secured $850K in translational research funding&lt;/li&gt;
&lt;li&gt;Led technical team and coordinated with clinical partners&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="technology"&gt;Technology&lt;/h2&gt;
&lt;p&gt;The platform leveraged sequences absent from the human genome (nullomers) as biomarkers for cancer detection. Machine learning models were trained on cell-free DNA and RNA data from liquid biopsies to distinguish cancer patients from healthy controls.&lt;/p&gt;
&lt;h2 id="clinical-applications"&gt;Clinical Applications&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Early cancer detection&lt;/li&gt;
&lt;li&gt;Cancer screening in high-risk populations&lt;/li&gt;
&lt;li&gt;Monitoring treatment response&lt;/li&gt;
&lt;li&gt;Detecting minimal residual disease&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="funding--recognition"&gt;Funding &amp;amp; Recognition&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Secured $850K in translational research funding&lt;/li&gt;
&lt;li&gt;Patent portfolio covering nullomer-based diagnostics&lt;/li&gt;
&lt;li&gt;Partnerships with clinical institutions&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="period"&gt;Period&lt;/h2&gt;
&lt;p&gt;January 2022 - May 2023&lt;/p&gt;</description></item></channel></rss>