English(EN) ScreenShot: A Foundation Model for Few-Shot Combination Drug Screening

ScreenShot基础模型推动少样本联合药物筛选

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-13 04:00

研究人员开发了ScreenShot，这是一种新颖的基础模型，专为少样本联合药物筛选而设计。该分层Transformer模型在大量药物筛选实验数据集上进行了预训练，并能通过上下文学习（in-context learning）以最少的患者数据预测联合疗法的疗效。ScreenShot的优势在于无需分子谱分析或每个队列的训练即可超越现有方法，并且其内部表征还可以指导实验设计，从而实现更高效的药物发现。 AI

影响 ScreenShot的方法可以通过实现对联合疗法疗效更高效、更准确的预测来加速药物发现，尤其是在数据稀缺的情况下。

排序理由发表了一篇详细介绍一种新的药物筛选基础模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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Newsworthiness bucket: Tool; 发表了一篇详细介绍一种新的药物筛选基础模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Antoine de Mathelin, Christopher Tosh, Wesley Tansey · 2026-08-13 04:00

ScreenShot：一种用于少样本组合药物筛选的基础模型

arXiv:2608.12219v1 Announce Type: new Abstract: Treating patients with combinations of drugs reduces the risk of resistance to any individual drug. Finding effective combinations is difficult because the large search space makes combinatorial screens prohibitively expensive, time…

本文如何被排名

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ScreenShot：一种用于少样本组合药物筛选的基础模型

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