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Updated: Jun 14, 2026

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斯坦福大学关于人工智能用于数据科学的研讨会的主要内容

Manisha Desai1, John Auerbach2, Laurence Baker3

  • 1Quantitative Sciences Unit, Biostatistics Section, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Journal of clinical and translational science
|December 15, 2025
PubMed
概括

人工智能 (AI) 为数据科学和数据科学家提供了变革性的潜力. 最近的一个研讨会探讨了人工智能集成,解决严谨性,培训和公共卫生应用的挑战和机遇.

关键词:
人工智能的人工智能是人工智能.数据科学数据科学教育和培训的教育和培训.公共卫生公共卫生.严谨性和可重复性 严谨性和可重复性

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Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...