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Updated: Jan 20, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
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深度学习的潜力在于发现涉及到性别发育差异的新基因

Isabel von der Decken1, Hamid Azimi1, Anna Lauber-Biason1

  • 1Endocrinology division, Section of Medicine, University of Fribourg, Fribourg, Switzerland.

Computational and structural biotechnology journal
|January 19, 2026
PubMed
概括

研究人员开发了一种新的AI工具GONAD-ResNet,用于识别与性别发育差异 (DSD) 相关的新基因. 这种方法有助于诊断未知的遗传原因,加速研究和改善对DSD疾病的患者护理.

关键词:
深度学习是一种深度学习.性发育的差异性发展的差异.基因疾病与基因疾病的关联在ScRNA-seq数据分析数据分析中.

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