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		<title>New AI Model Forecasts Hidden Side Effects of Drug Combinations</title>
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		<pubDate>Sat, 10 Oct 2026 16:27:52 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[adverse drug events]]></category>
		<category><![CDATA[cold-start prediction]]></category>
		<category><![CDATA[DCSE]]></category>
		<category><![CDATA[drug combinations]]></category>
		<category><![CDATA[drug safety]]></category>
		<category><![CDATA[latent signatures]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Pharmacovigilance]]></category>
		<category><![CDATA[PLOS Computational Biology]]></category>
		<category><![CDATA[polypharmacy]]></category>
		<category><![CDATA[prospective evaluation]]></category>
		<category><![CDATA[Side Effects]]></category>
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					<description><![CDATA[A new machine learning method called DCSE predicts side effects of drug combinations and introduces more realistic evaluation standards that expose weaknesses in existing benchmarks.]]></description>
		
		
		
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