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	<title>dual-phase CT imaging &#8211; BIOENGINEER.ORG</title>
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		<title>Neopred: AI-Driven Dual-Phase CT Tool Enhances Preoperative Prediction of Pathological Response in NSCLC</title>
		<link>https://bioengineer.org/neopred-ai-driven-dual-phase-ct-tool-enhances-preoperative-prediction-of-pathological-response-in-nsclc/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 27 Jun 2025 02:02:32 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[AI-driven cancer prediction]]></category>
		<category><![CDATA[dual-phase CT imaging]]></category>
		<category><![CDATA[neoadjuvant chemo-immunotherapy]]></category>
		<category><![CDATA[non-small cell lung cancer (NSCLC)]]></category>
		<category><![CDATA[pathological response forecasting]]></category>
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					<description><![CDATA[In a landmark advancement poised to reshape the therapeutic landscape for non-small cell lung cancer (NSCLC), researchers led by Professor Jianxing He at the First Affiliated Hospital of Guangzhou Medical University have unveiled an innovative artificial intelligence (AI) model named NeoPred. This cutting-edge system leverages dual-phase computed tomography (CT) imaging alongside clinical data to forecast [&#8230;]]]></description>
		
		
		
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