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		<title>Desert Antelope-Inspired AI Reads Student Smartphone Data to Flag Depression Risk</title>
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				<category><![CDATA[Health]]></category>
		<category><![CDATA[Addax Optimization Algorithm]]></category>
		<category><![CDATA[College Experience Study]]></category>
		<category><![CDATA[college student mental health]]></category>
		<category><![CDATA[cross-modal attention network]]></category>
		<category><![CDATA[Depression Detection]]></category>
		<category><![CDATA[digital phenotyping]]></category>
		<category><![CDATA[metaheuristic optimization]]></category>
		<category><![CDATA[multimodal deep learning]]></category>
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					<description><![CDATA[A new deep learning framework that passively reads smartphone sensor data from college students can detect depression and stress, but rigorous cross-dataset validation revealed that its headline accuracy was overoptimistic.]]></description>
		
		
		
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