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	<title>vulnerable plaque &#8211; BIOENGINEER.ORG</title>
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		<title>Blood Flow Simulations From Routine Scans Could Flag Dangerous Carotid Plaques Without MRI</title>
		<link>https://bioengineer.org/blood-flow-simulations-from-routine-scans-could-flag-dangerous-carotid-plaques-without-mri/</link>
		
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		<pubDate>Thu, 08 Oct 2026 21:41:59 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[carotid atherosclerosis]]></category>
		<category><![CDATA[Computational fluid dynamics]]></category>
		<category><![CDATA[CT angiography]]></category>
		<category><![CDATA[helicity]]></category>
		<category><![CDATA[hemodynamics]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[neurovascular ultrasound]]></category>
		<category><![CDATA[plaque MRI]]></category>
		<category><![CDATA[PLOS Digital Health]]></category>
		<category><![CDATA[Stroke]]></category>
		<category><![CDATA[vulnerable plaque]]></category>
		<category><![CDATA[wall shear stress]]></category>
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					<description><![CDATA[A pilot study from the University of Bern shows that computational fluid dynamics built from routine CT angiography and ultrasound data, combined with machine learning, can identify vulnerable carotid plaques with moderate accuracy, offering a potential alternative where plaque MRI is unavailable.]]></description>
		
		
		
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