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	<title>chronological age &#8211; BIOENGINEER.ORG</title>
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		<title>Flicker Light Test and Machine Learning Estimate Age from Retinal Vessels</title>
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		<pubDate>Sat, 24 Oct 2026 09:48:57 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[biomarker of aging]]></category>
		<category><![CDATA[Chronological]]></category>
		<category><![CDATA[chronological age]]></category>
		<category><![CDATA[Estimating]]></category>
		<category><![CDATA[Extra Trees Regressor]]></category>
		<category><![CDATA[flicker stimulation]]></category>
		<category><![CDATA[LIME interpretability]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[non-invasive measurement]]></category>
		<category><![CDATA[retinal vessels]]></category>
		<category><![CDATA[Scientific Reports]]></category>
		<category><![CDATA[vascular reactivity]]></category>
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					<description><![CDATA[A machine learning study reports that dynamic diameter changes of retinal blood vessels during flicker light stimulation can be used to estimate chronological age with a mean absolute error of 9.3 years.]]></description>
		
		
		
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