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Updated: Jan 6, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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对未来急性损伤的持续预测具有临床适用性的方法

Nenad Tomašev1, Xavier Glorot2, Jack W Rae2,3

  • 1DeepMind, London, UK. nenadt@google.com.

Nature
|August 2, 2019
PubMed
概括

这项研究引入了一个深度学习模型,用于早期预测患者病情恶化,特别是急性损伤. 该模型可在48小时前准确识别高风险患者,从而及时介入并可能挽救生命.

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