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	<title>patient-specific modeling &#8211; BIOENGINEER.ORG</title>
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		<title>Digital-Physical Twins Converge to Transform Heart Failure Diagnosis and Prognosis</title>
		<link>https://bioengineer.org/digital-physical-twins-converge-to-transform-heart-failure-diagnosis-and-prognosis/</link>
		
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		<pubDate>Tue, 06 Oct 2026 20:09:16 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[3D printing]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[bioprosthetic heart valves]]></category>
		<category><![CDATA[cardiac biomechanics]]></category>
		<category><![CDATA[digital twin]]></category>
		<category><![CDATA[Finite Element Modeling]]></category>
		<category><![CDATA[heart failure]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[patient-specific modeling]]></category>
		<category><![CDATA[Precision Medicine]]></category>
		<category><![CDATA[transcatheter valve replacement]]></category>
		<category><![CDATA[ventricular remodeling]]></category>
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					<description><![CDATA[A new review argues that merging finite-element cardiac modeling, 3D-printed patient-specific phantoms, and artificial intelligence into digital–physical twins could reshape heart failure diagnosis and prognosis, though prospective outcome-linked validation remains the critical missing step.]]></description>
		
		
		
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