Paper Talk

783-Active Learning for Transcriptomic Drug Discovery


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This research introduces DrugReflector, a deep learning architecture designed to accelerate phenotypic drug discovery by linking disease biology with chemical interventions through transcriptomics. By utilizing a lab-in-the-loop active reinforcement learning framework, the system iteratively refines gene signatures to prioritize compounds likely to induce desired cellular changes. In experimental ...去小宇宙查看完整单集简介
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Paper TalkBy 淼淼Elva