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	<title>digital biomarkers &#8211; BIOENGINEER.ORG</title>
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		<title>AI Forecasts Mental Health Crises Using Minimal Digital Data</title>
		<link>https://bioengineer.org/ai-forecasts-mental-health-crises-using-minimal-digital-data/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 30 Jul 2025 23:52:00 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[AI mental health prediction]]></category>
		<category><![CDATA[digital biomarkers]]></category>
		<category><![CDATA[precision psychiatry]]></category>
		<category><![CDATA[real-time crisis forecasting]]></category>
		<category><![CDATA[small data machine learning]]></category>
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					<description><![CDATA[In a pioneering advance poised to transform the landscape of psychiatric care, researchers have unveiled a novel machine learning framework that leverages “small data” to predict mental health crises with remarkable precision. Unlike conventional models that require extensive datasets, this innovative approach thrives on sparse, fragmented digital footprints—capturing subtle behavioral signals that typically elude clinical [&#8230;]]]></description>
		
		
		
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