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	<title>Multidrug-resistant bacteria treatment &#8211; BIOENGINEER.ORG</title>
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		<title>Deep Learning Revolutionizes Antibacterial Compound Screening</title>
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		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 24 Oct 2025 09:52:26 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[AI in Drug Development]]></category>
		<category><![CDATA[Antibiotic discovery using deep learning]]></category>
		<category><![CDATA[GNEprop deep learning model]]></category>
		<category><![CDATA[Multidrug-resistant bacteria treatment]]></category>
		<category><![CDATA[Virtual compound screening]]></category>
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					<description><![CDATA[The alarming rise of multidrug-resistant bacteria represents one of the most urgent challenges facing modern medicine. As traditional antibiotics steadily lose their efficacy, researchers worldwide are racing to discover new antibacterial agents that can outpace these evolving pathogens. In a groundbreaking fusion of biotechnology and artificial intelligence, a recent study has unveiled a transformative approach [&#8230;]]]></description>
		
		
		
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