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	<title>early breast cancer detection &#8211; BIOENGINEER.ORG</title>
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		<title>Predicting Early Breast Cancer: Microcalcifications and Risk Factors</title>
		<link>https://bioengineer.org/predicting-early-breast-cancer-microcalcifications-and-risk-factors/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 15 Jan 2026 16:34:36 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI in healthcare]]></category>
		<category><![CDATA[early breast cancer detection]]></category>
		<category><![CDATA[Erken meme kanseri teşhisi]]></category>
		<category><![CDATA[Hasta risk faktörleri]]></category>
		<category><![CDATA[Kişiselleştirilmiş kanser taraması]]></category>
		<category><![CDATA[microcalcifications]]></category>
		<category><![CDATA[Mikrokalsifikasyonlar]]></category>
		<category><![CDATA[patient risk factors]]></category>
		<category><![CDATA[personalized medicine]]></category>
		<category><![CDATA[Yapay Zeka Entegrasyonu]]></category>
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					<description><![CDATA[In a groundbreaking effort to combat breast cancer, researchers have introduced an innovative model that integrates microcalcifications with patient risk factors to enhance early detection. Breast cancer remains one of the most prevalent forms of cancer among women worldwide, and early intervention is paramount to improving survival rates. The traditional methods of diagnosing breast cancer [&#8230;]]]></description>
		
		
		
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