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	<title>LAC-TME classifier &#8211; BIOENGINEER.ORG</title>
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	<title>LAC-TME classifier &#8211; BIOENGINEER.ORG</title>
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		<title>AI Model Predicts Survival, Prioritizes Therapy in RCC</title>
		<link>https://bioengineer.org/ai-model-predicts-survival-prioritizes-therapy-in-rcc/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 16 Dec 2025 23:09:04 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[LAC-TME classifier]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Makalenin içeriği ve anahtar kelimeleri dikkate alınarak en uygun 5 etiket: **ccRCC]]></category>
		<category><![CDATA[personalized medicine]]></category>
		<category><![CDATA[Targeted Therapy** * **ccRCC:** Makalenin temel odağı olan kanser türü. * **Machine Learning:** Modelin geliştirilmesinde kullanılan temel teknoloji. * **]]></category>
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					<description><![CDATA[In an exciting breakthrough in cancer treatment, researchers led by He, J., Qi, L., and Cai, Y., have developed a novel machine learning-based model known as the LAC-TME classifier. This innovative tool demonstrates significant potential in predicting survival outcomes and facilitating tailored therapies for patients with clear cell renal cell carcinoma (ccRCC). As one of [&#8230;]]]></description>
		
		
		
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