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	<title>cancer cell states &#8211; BIOENGINEER.ORG</title>
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		<title>AI Maps Cell-State Gene Networks in Cancer, but Causation Still Requires Experiments</title>
		<link>https://bioengineer.org/ai-maps-cell-state-gene-networks-in-cancer-but-causation-still-requires-experiments/</link>
		
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		<pubDate>Tue, 20 Oct 2026 10:20:31 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[cancer cell states]]></category>
		<category><![CDATA[causal validation]]></category>
		<category><![CDATA[Chromatin accessibility]]></category>
		<category><![CDATA[computational]]></category>
		<category><![CDATA[drug resistance]]></category>
		<category><![CDATA[gene regulatory networks]]></category>
		<category><![CDATA[methods]]></category>
		<category><![CDATA[Single-cell multi-omics]]></category>
		<category><![CDATA[Transcriptomics]]></category>
		<category><![CDATA[tumor heterogeneity]]></category>
		<category><![CDATA[virtual perturbation]]></category>
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					<description><![CDATA[A mini-review finds that AI-assisted reconstruction of cell-state-specific gene regulatory networks can illuminate tumor plasticity and drug resistance, but experimental perturbation remains essential for establishing causality.]]></description>
		
		
		
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