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		<title>AI Model SPACER Decodes the Hidden Rules of Cell Recruitment in Human Tissue</title>
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		<pubDate>Mon, 19 Oct 2026 16:28:18 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[antigen presentation]]></category>
		<category><![CDATA[Cancer immunotherapy]]></category>
		<category><![CDATA[CD4-positive T cells]]></category>
		<category><![CDATA[cell recruitment]]></category>
		<category><![CDATA[checkpoint inhibitor myocarditis]]></category>
		<category><![CDATA[computational biology]]></category>
		<category><![CDATA[interpretable AI]]></category>
		<category><![CDATA[SPACER]]></category>
		<category><![CDATA[Spatial transcriptomics]]></category>
		<category><![CDATA[T Cells]]></category>
		<category><![CDATA[tumor microenvironment]]></category>
		<category><![CDATA[tumor mucins]]></category>
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					<description><![CDATA[An interpretable deep learning model called SPACER reads spatial transcriptomics data to reveal the molecular and spatial rules that govern how immune and other cells are recruited to specific destinations in tissue.]]></description>
		
		
		
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