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	<title>cardiorenal protection &#8211; BIOENGINEER.ORG</title>
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		<title>Machine Learning Reveals Three Diabetes Patient Types Shaping Heart and Kidney Drug Choices</title>
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		<pubDate>Mon, 12 Oct 2026 17:48:50 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[cardiorenal protection]]></category>
		<category><![CDATA[cardiovascular risk]]></category>
		<category><![CDATA[Clinical Phenotypes]]></category>
		<category><![CDATA[cluster analysis]]></category>
		<category><![CDATA[diabetes guidelines]]></category>
		<category><![CDATA[GLP-1 receptor agonists]]></category>
		<category><![CDATA[obesity]]></category>
		<category><![CDATA[Precision Medicine]]></category>
		<category><![CDATA[Real-world study]]></category>
		<category><![CDATA[registry study]]></category>
		<category><![CDATA[SGLT2 inhibitors]]></category>
		<category><![CDATA[Type 2 diabetes]]></category>
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					<description><![CDATA[A real-world study of 9000 patients with type 2 diabetes in China used cluster analysis to identify three clinical phenotypes linked to distinct prescribing patterns of heart- and kidney-protecting glucose-lowering drugs.]]></description>
		
		
		
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