<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>multimodal pathogenomics integration &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/multimodal-pathogenomics-integration/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Sat, 17 Jan 2026 19:12:53 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>

<image>
	<url>https://bioengineer.org/wp-content/uploads/2019/09/cropped-bioengineering-32x32.png</url>
	<title>multimodal pathogenomics integration &#8211; BIOENGINEER.ORG</title>
	<link>https://bioengineer.org</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">72741379</site>	<item>
		<title>Harnessing Deep Learning for Precision Cancer Prognosis</title>
		<link>https://bioengineer.org/harnessing-deep-learning-for-precision-cancer-prognosis/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sat, 17 Jan 2026 19:12:33 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Cancer prognosis]]></category>
		<category><![CDATA[deep learning in cancer prognosis]]></category>
		<category><![CDATA[deep learning in oncology]]></category>
		<category><![CDATA[Genomic Data Analysis]]></category>
		<category><![CDATA[Multimodal pathogenomics]]></category>
		<category><![CDATA[multimodal pathogenomics integration]]></category>
		<category><![CDATA[personalized cancer therapy]]></category>
		<category><![CDATA[Precision Medicine]]></category>
		<category><![CDATA[precision oncology]]></category>
		<guid isPermaLink="false">https://bioengineer.org/harnessing-deep-learning-for-precision-cancer-prognosis/</guid>

					<description><![CDATA[In an era where precision medicine is of utmost importance, a groundbreaking study led by Feng et al. addresses the complexities of cancer prognosis through an integrative approach known as multimodal pathogenomics. This innovative framework harnesses the power of deep learning to unravel the intricate genetic, epigenetic, and transcriptomic landscapes of tumors. As cancer remains [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">317811</post-id>	</item>
	</channel>
</rss>
