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		<title>AI Method Reads Tissue Fingerprints to Find Disease Hotspots Earlier</title>
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		<category><![CDATA[case-control analysis]]></category>
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		<category><![CDATA[dementia]]></category>
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		<category><![CDATA[MERFISH]]></category>
		<category><![CDATA[microniches]]></category>
		<category><![CDATA[Rheumatoid arthritis]]></category>
		<category><![CDATA[spatial biology]]></category>
		<category><![CDATA[Spatial transcriptomics]]></category>
		<category><![CDATA[ulcerative colitis]]></category>
		<category><![CDATA[Variational Autoencoder]]></category>
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					<description><![CDATA[A new deep-learning method called VIMA converts tissue patches into numerical fingerprints and uses rigorous statistics to uncover disease-associated spatial structures across arthritis, colitis and dementia datasets.]]></description>
		
		
		
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