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		<title>Machine Learning Links a Mother&#8217;s Milk Diet to Her Child&#8217;s Language Skills</title>
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				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[birth cohort]]></category>
		<category><![CDATA[child development inventory]]></category>
		<category><![CDATA[expressive language]]></category>
		<category><![CDATA[Feature Selection]]></category>
		<category><![CDATA[glutathione]]></category>
		<category><![CDATA[glycemic load]]></category>
		<category><![CDATA[lactation]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Maternal Nutrition]]></category>
		<category><![CDATA[neurocognitive development]]></category>
		<category><![CDATA[phosphatidylcholine]]></category>
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					<description><![CDATA[A pilot machine learning study of 20 mother-child dyads found that maternal lactation nutrients such as phosphatidylcholine, glutathione, and glycemic load, along with family income, predicted early school-age expressive language with 3 percent error.]]></description>
		
		
		
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