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		<title>Revolutionizing Biology: Large Perturbation Models Unleashed</title>
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		<pubDate>Wed, 15 Oct 2025 09:53:00 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI-driven drug development]]></category>
		<category><![CDATA[computational biology]]></category>
		<category><![CDATA[in silico biological discovery]]></category>
		<category><![CDATA[large perturbation models]]></category>
		<category><![CDATA[predictive medicine]]></category>
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					<description><![CDATA[In the ever-evolving landscape of scientific research, the intersection of computational modeling and biological discovery has emerged as a cornerstone in the quest for innovative solutions to complex biological problems. The researchers Miladinovic, Höppe, Chevalley, and their colleagues have ventured into this fascinating domain, presenting a groundbreaking study that delves into the use of large [&#8230;]]]></description>
		
		
		
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