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		<title>AI Meets the Blood Drop: Scientists Map the Rules for Merging Liquid Biopsy Data in Cancer Research</title>
		<link>https://bioengineer.org/ai-meets-the-blood-drop-scientists-map-the-rules-for-merging-liquid-biopsy-data-in-cancer-research/</link>
		
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		<pubDate>Fri, 23 Oct 2026 22:00:32 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Cancer Detection]]></category>
		<category><![CDATA[clinical utility]]></category>
		<category><![CDATA[ctDNA]]></category>
		<category><![CDATA[data preprocessing]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[external validation]]></category>
		<category><![CDATA[Liquid Biopsy]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[model calibration]]></category>
		<category><![CDATA[multiomics integration]]></category>
		<category><![CDATA[study design]]></category>
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					<description><![CDATA[A new methods article outlines how artificial intelligence should be used to integrate liquid biopsy biomarkers in cancer research, finding that few studies combine multiple molecular layers and none assess calibration or clinical utility.]]></description>
		
		
		
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