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	<title>preterm birth outcome prediction &#8211; BIOENGINEER.ORG</title>
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		<title>Machine Learning Advances Outcome Prediction in Preterm Infants</title>
		<link>https://bioengineer.org/machine-learning-advances-outcome-prediction-in-preterm-infants/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 23 May 2025 13:46:49 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[clinical data challenges]]></category>
		<category><![CDATA[machine learning in neonatal medicine]]></category>
		<category><![CDATA[neurodevelopmental delay forecasting]]></category>
		<category><![CDATA[pediatric AI research]]></category>
		<category><![CDATA[preterm birth outcome prediction]]></category>
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					<description><![CDATA[In recent years, the intersection of machine learning and neonatal medicine has kindled remarkable enthusiasm, promising to revolutionize how clinicians predict outcomes for preterm infants. Preterm birth, defined as birth before 37 weeks of gestation, remains one of the leading challenges in perinatal medicine, often resulting in a complex array of complications and long-term developmental [&#8230;]]]></description>
		
		
		
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