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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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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...
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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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相关实验视频

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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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代谢学中的人工智能:当前的审查

Jinhua Chi1,2, Jingmin Shu1,3, Ming Li4,5

  • 1College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.

Trends in analytical chemistry : TRAC
|July 29, 2024
PubMed
概括

人工智能 (AI) 和代谢学正在彻底改变系统生物学和人类健康. 人工智能增强了复杂的代谢数据的分析,以改善生物标志物发现和预测建模.

关键词:
人工智能的人工智能深度学习 (Deep Learning) 是一种深度学习.疾病诊断 疾病诊断药物发现 药物发现 药物发现机器学习 机器学习代谢学 代谢学 代谢学精准医学是一门精准的医学.系统生物学 系统生物学

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科学领域:

  • 生物医学信息学 生物医学信息学
  • 系统生物学 系统生物学
  • 代谢学 代谢学 代谢学

背景情况:

  • 代谢学产生了大量的,复杂的代谢物数据集.
  • 人工智能 (AI) 擅长分析大型生物数据集.
  • 将人工智能与代谢学相结合,为人类健康提供了新的见解.

研究的目的:

  • 审查人工智能在代谢学中的方法和应用.
  • 突出AI在系统生物学和人类健康研究中的作用.
  • 讨论人工智能在代谢学中的当前挑战和未来方向.

主要方法:

  • 概述人工智能概念,机器学习和深度学习算法.
  • 在代谢数据分析中应用人工智能的研究的审查.
  • 讨论AI在分析检测,数据预处理和多omics集成中的实用性.

主要成果:

  • 人工智能显著提高了复杂的代谢数据的分析.
  • 人工智能有助于在健康研究中发现生物标志物和预测建模.
  • 人工智能有助于整合多学科数据,以获得全面的生物学理解.

结论:

  • 人工智能和代谢学之间的协同作用有望在人类健康方面取得重大进展.
  • 人工智能为释放代谢数据的潜力提供了强大的工具.
  • 持续开发对于克服挑战和实现人工智能在代谢学上的全部影响至关重要.