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	<title>isokinetic dynamometry &#8211; BIOENGINEER.ORG</title>
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		<title>Machine Learning Reveals How Muscle Power Predicts Frailty and Falls in Aging</title>
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		<pubDate>Thu, 08 Oct 2026 20:23:23 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[clustering analysis]]></category>
		<category><![CDATA[fall risk]]></category>
		<category><![CDATA[Frailty]]></category>
		<category><![CDATA[gait analysis]]></category>
		<category><![CDATA[geriatric assessment]]></category>
		<category><![CDATA[isokinetic dynamometry]]></category>
		<category><![CDATA[k-means]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[muscular power]]></category>
		<category><![CDATA[older adults]]></category>
		<category><![CDATA[powerpenia]]></category>
		<category><![CDATA[sarcopenia]]></category>
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					<description><![CDATA[An unsupervised machine learning analysis of 23 physical performance measures in 368 older adults identified three performance clusters that aligned with frailty, fall risk, and living situation, with muscular power emerging as the most discriminative marker of functional decline.]]></description>
		
		
		
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