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Updated: Jan 20, 2026

Expanding the Toolkit for In Vivo Imaging of Axonal Transport
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在数据丰富的时代扩大手术研究的方法工具包

Kanhua Yin1, Lakshika Tennakoon2, Amro M Abdelrahman3

  • 1Department of Surgery, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.

The Journal of surgical research
|January 18, 2026
PubMed
概括

本专题号通过解释复杂的数据科学和生物统计学方法来增强外科研究. 它旨在提高方法素养和协作,以便在手术中更好地设计研究和基于证据的决策.

关键词:
数据科学是数据科学.跨学科合作跨学科合作方法论 方法论 方法论手术研究的研究.

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