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		<title>Retrospective study finds multimodal AI improves immunotherapy outcome prediction in advanced lung cancer</title>
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		<pubDate>Mon, 26 Oct 2026 22:33:56 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[clinical biomarkers]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[immunotherapy]]></category>
		<category><![CDATA[lung cancer]]></category>
		<category><![CDATA[medical decision support]]></category>
		<category><![CDATA[Medical Imaging]]></category>
		<category><![CDATA[multimodal models]]></category>
		<category><![CDATA[non-small cell lung cancer]]></category>
		<category><![CDATA[successfully]]></category>
		<category><![CDATA[Survival prediction]]></category>
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					<description><![CDATA[In a retrospective I3LUNG study of 2,396 patients, multimodal AI outperformed standard clinical biomarkers for survival-outcome prediction, and AI support improved physicians’ identification of immunotherapy responders in a 100-case evaluation.]]></description>
		
		
		
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