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		<title>Wearable Aging Clock Links to Disease, Behavior</title>
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		<pubDate>Mon, 20 Oct 2025 12:19:23 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[biological age estimation]]></category>
		<category><![CDATA[disease and behavior correlation]]></category>
		<category><![CDATA[machine learning algorithms]]></category>
		<category><![CDATA[personalized aging insights]]></category>
		<category><![CDATA[wearable health monitoring]]></category>
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					<description><![CDATA[In an era where wearable technology has seamlessly integrated into daily life, a groundbreaking study published in Nature Communications introduces a novel frontier in health monitoring—an aging clock derived from wearable data that correlates intricately with disease and behavior. This advancement transcends existing biomarker models by offering continuous, non-invasive, and dynamically responsive insights into an [&#8230;]]]></description>
		
		
		
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