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	<title>Anopheles stephensi &#8211; BIOENGINEER.ORG</title>
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	<title>Anopheles stephensi &#8211; BIOENGINEER.ORG</title>
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		<title>AI and Citizen Science Team Up to Spot Potential First Invasive Malaria Mosquito in Madagascar, Finds USF Study</title>
		<link>https://bioengineer.org/ai-and-citizen-science-team-up-to-spot-potential-first-invasive-malaria-mosquito-in-madagascar-finds-usf-study/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 28 Oct 2025 13:23:06 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[AI in disease surveillance]]></category>
		<category><![CDATA[Anopheles stephensi]]></category>
		<category><![CDATA[citizen science contributions]]></category>
		<category><![CDATA[invasive species detection]]></category>
		<category><![CDATA[malaria surveillance]]></category>
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					<description><![CDATA[In a groundbreaking advancement that melds cutting-edge artificial intelligence with the power of citizen science, researchers at the University of South Florida (USF) have potentially identified the first-ever specimen of the Anopheles stephensi mosquito in Madagascar. This discovery, documented in the peer-reviewed journal Insects and led by Dr. Ryan Carney and Dr. Sriram Chellappan, underscores [&#8230;]]]></description>
		
		
		
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