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	<title>geometric deep learning &#8211; BIOENGINEER.ORG</title>
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	<title>geometric deep learning &#8211; BIOENGINEER.ORG</title>
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		<title>Unraveling RNA–Ligand Binding with GerNA-Bind</title>
		<link>https://bioengineer.org/unraveling-rna-ligand-binding-with-gerna-bind/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 12 Dec 2025 17:45:05 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[computational biology** **Kısaca Açıklama:** 1. **GerNA-Bind:** Makalenin ve araştırmanın ana odağı olan yeni çerçeve. 2. **geometric deep learning:** GerNA-Bind'in temel]]></category>
		<category><![CDATA[geometric deep learning]]></category>
		<category><![CDATA[İşte bu içerik için uygun 5 etiket: **GerNA-Bind]]></category>
		<category><![CDATA[MALAT1 RNA binding]]></category>
		<category><![CDATA[RNA-targeted drug discovery]]></category>
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					<description><![CDATA[RNA molecules have long been recognized as critical regulators of a wide array of biological processes. As we delve deeper into the intricate world of molecular biology, the focus on RNA has intensified, particularly in the realm of therapeutic development for various diseases. Among the mounting challenges faced by researchers is the difficulty of discovering [&#8230;]]]></description>
		
		
		
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		<title>Real-Time Knee Joint Biomechanics Predicted by AI</title>
		<link>https://bioengineer.org/real-time-knee-joint-biomechanics-predicted-by-ai/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 26 Aug 2025 14:00:59 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[clinical orthopedic applications]]></category>
		<category><![CDATA[geometric deep learning]]></category>
		<category><![CDATA[meniscal extrusion]]></category>
		<category><![CDATA[osteoarthritis prevention]]></category>
		<category><![CDATA[real-time biomechanical prediction]]></category>
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					<description><![CDATA[In a groundbreaking study published in the journal Annals of Biomedical Engineering, researchers have developed a geometric deep learning model capable of predicting knee joint biomechanics in real-time. This innovative approach focuses on the biomechanical effects associated with meniscal extrusion, a condition in which the meniscus, a crucial cartilage in the knee joint, moves out [&#8230;]]]></description>
		
		
		
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