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		<title>AI Ensemble Reads Blood Smears With Near-Perfect Accuracy to Identify Malaria Parasites</title>
		<link>https://bioengineer.org/ai-ensemble-reads-blood-smears-with-near-perfect-accuracy-to-identify-malaria-parasites/</link>
		
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		<pubDate>Mon, 05 Oct 2026 22:55:34 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[blood smear]]></category>
		<category><![CDATA[convolutional neural network]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[Diagnostics]]></category>
		<category><![CDATA[ensemble model]]></category>
		<category><![CDATA[Ethiopia]]></category>
		<category><![CDATA[Grad-CAM]]></category>
		<category><![CDATA[interpretability]]></category>
		<category><![CDATA[malaria]]></category>
		<category><![CDATA[Medical Imaging]]></category>
		<category><![CDATA[Plasmodium falciparum]]></category>
		<category><![CDATA[Plasmodium vivax]]></category>
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					<description><![CDATA[Researchers in Ethiopia have built an interpretable deep learning ensemble that identifies malaria parasite species from thin blood smears with near-perfect accuracy and transparent visual evidence.]]></description>
		
		
		
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