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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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The ability of induced pluripotent stem cells or iPSCs to differentiate into most body cell types has stimulated repair and regenerative medicine research over the past few decades. iPSC-derived blood cells, hepatocytes, beta islet cells, cardiomyocytes, neurons, and other cell types can repair injuries or regenerate damaged tissue in diseases such as diabetes and neurodegenerative disorders.
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Stem cell therapy is a method used in regenerative medicine to repair and restore function to damaged tissues and organs. Stem cells have the potential to proliferate and differentiate into various tissue types, making them ideal candidates for tissue regeneration. For example, hematopoietic stem cell transplants are commonly used in blood cancer treatment to replenish damaged bone marrow and restore healthy blood cells.
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Stem cells are undifferentiated cells that divide and produce different types of cells. Ordinarily, cells that have differentiated into a specific cell type are post-mitotic—that is, they no longer divide. However, scientists have found a way to reprogram these mature cells so that they “de-differentiate” and return to an unspecialized, proliferative state. These cells are also pluripotent like embryonic stem cells—able to produce all cell types—and are therefore...
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人工智能使再生医学进入预测领域.

Armin Garmany1,2, Andre Terzic1

  • 1Marriott Heart Disease Research Program, Department of Cardiovascular Medicine, Department of Molecular Pharmacology & Experimental Therapeutics, Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA.

Regenerative medicine
|December 11, 2024
PubMed
概括

人工智能 (AI) 正通过提高精度和结果来彻底改变再生医学. 在发现,制造和临床应用中整合人工智能有望提供更有效和公平的再生疗法.

关键词:
人工智能的人工智能是人工智能.医疗保健 医疗保健 医疗保健 医疗保健机器学习是机器学习.制造业 制造业 是一个制造业.复兴再生是一种再生方式.干细胞是一种干细胞.系统生物学 系统生物学组织工程是组织工程.

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科学领域:

  • 再生医学是一种再生医学.
  • 生物信息学是一种生物信息学.
  • 人工智能的人工智能

背景情况:

  • 再生医学旨在改善组织的修复和再生,但需要提高精度和可靠性.
  • 目前的再生医学方法通常依赖于经验方法,需要数据驱动的进步.
  • 大数据,信息学和人工智能 (AI) 的融合提供了一个变革性的机会.

研究的目的:

  • 探索人工智能在促进再生医学方面的潜力.
  • 概述AI在优化生物治疗发现,制造和临床应用中的作用.
  • 解决与人工智能在再生医学中的挑战和伦理考虑.

主要方法:

  • 利用大数据分析和人工智能算法.
  • 在生物治疗开发中应用人工智能来解释修复结果的读数.
  • 利用人工智能进行自动化质量控制和生物制造过程监控.
  • 利用人工智能指导临床试验设计,患者选择和结果评估.

主要成果:

  • 人工智能可以简化优化生物治疗的发现和开发.
  • 人工智能通过自动化监控提高了先进生物制造的质量控制和可扩展性.
  • 人工智能为临床试验设计,患者分层和治疗交付策略提供了关键支持.

结论:

  • 人工智能有望显著提高再生医学的精度,效率和有效性.
  • 负责任的AI实施需要仔细考虑偏见,概括性和道德问题.
  • 其目标是确保所有患者均可获得先进的再生疗法.