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	<title>TCM Diagnosis &#8211; BIOENGINEER.ORG</title>
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	<title>TCM Diagnosis &#8211; BIOENGINEER.ORG</title>
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		<title>Multimodal Deep Learning Enhances Chinese Medicine Diagnosis</title>
		<link>https://bioengineer.org/multimodal-deep-learning-enhances-chinese-medicine-diagnosis/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sat, 24 Jan 2026 16:22:55 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[AI in Healthcare** * **Multimodal Deep Learning:** Çalışmanın temel teknolojik metodolojisini doğrudan vurgular. * **Radiomics:** Tıbbi görüntülerden kantitatif özellik çıkarımı]]></category>
		<category><![CDATA[AI in Healthcare** **Kısa Açıklama:** 1. **Multimodal Deep Learning:** Makalenin temel teknolojik metodolojisi. 2. **Radiomics:** Tıbbi görüntülerden özellik çıkarma ve analiz]]></category>
		<category><![CDATA[ara]]></category>
		<category><![CDATA[araşt]]></category>
		<category><![CDATA[İşte içeriğe uygun 5 etiket: **Multimodal Deep Learning]]></category>
		<category><![CDATA[İşte içerik için uygun 5 etiket: **Multimodal Deep Learning]]></category>
		<category><![CDATA[personalized medicine]]></category>
		<category><![CDATA[radiomics]]></category>
		<category><![CDATA[TCM Diagnosis]]></category>
		<category><![CDATA[Traditional Chinese Medicine Diagnosis]]></category>
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					<description><![CDATA[In an enlightening advance within the realm of integrative medicine, a recent study by Gu, Nie, and Yang delves into the identification of traditional Chinese medicine (TCM) constitution through the innovative application of multimodal deep learning radiomics. The research, set to be published in the Journal of Medical Biological Engineering in 2026, represents a significant [&#8230;]]]></description>
		
		
		
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