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	<title>deep learning in genomics &#8211; BIOENGINEER.ORG</title>
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		<title>Crossmodal Gene Data Enhances Cancer AI Predictions</title>
		<link>https://bioengineer.org/crossmodal-gene-data-enhances-cancer-ai-predictions/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 31 Dec 2025 07:50:22 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[AI-enhanced cancer diagnosis** **Açıklama:** 1. **Crossmodal gene expression:** Makalenin temel yeniliği ve başlıkta vurgulanan kavram (görselden moleküler veri ü]]></category>
		<category><![CDATA[Cancer histopathology AI]]></category>
		<category><![CDATA[deep learning in genomics]]></category>
		<category><![CDATA[Makalenin içeriğine ve ana temalarına göre en uygun 5 etiket: **Crossmodal gene expression]]></category>
		<category><![CDATA[Multimodal predictive oncology]]></category>
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					<description><![CDATA[In a groundbreaking advance at the intersection of computational pathology and genomics, researchers have developed a novel artificial intelligence framework that transforms routine cancer histopathology images into detailed gene expression profiles. This pioneering approach, recently published in Nature Communications, promises to revolutionize how we understand tumor biology and enhance the accuracy of multimodal predictive models [&#8230;]]]></description>
		
		
		
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		<title>Researchers at CHOP and Penn Medicine Employ Deep Learning to Identify Disease-Causing Variants in Non-Coding Human Genome Regions</title>
		<link>https://bioengineer.org/researchers-at-chop-and-penn-medicine-employ-deep-learning-to-identify-disease-causing-variants-in-non-coding-human-genome-regions/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 17 Apr 2025 15:55:23 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[deep learning in genomics]]></category>
		<category><![CDATA[disease-causing non-coding variants]]></category>
		<category><![CDATA[genomic regulation insights]]></category>
		<category><![CDATA[non-coding genetic variants]]></category>
		<category><![CDATA[transcription factor footprint mapping]]></category>
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					<description><![CDATA[In a groundbreaking advancement poised to reshape the landscape of genetic research and precision medicine, scientists at the Children’s Hospital of Philadelphia (CHOP) in collaboration with the Perelman School of Medicine at the University of Pennsylvania have unveiled an innovative approach to decoding the enigmatic noncoding regions of the human genome. These vast stretches of [&#8230;]]]></description>
		
		
		
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