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Updated: Jun 17, 2026

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用于神经退行性实验模型的人工智能

Sarah J Marzi1,2, Brian M Schilder1,2, Alexi Nott1,2

  • 1UK Dementia Research Institute, Imperial College London, London, UK.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|September 28, 2023
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 可以改善痴呆症研究的实验医学. 这些工具提高了可复制性和从模型转化到人类生物学上的翻译能力,解决了药物发现的关键挑战.

关键词:
这是公平的,公平的.动物模型动物模型人工智能的人工智能是人工智能.比较生物学比较生物学痴呆症 痴呆症是一种痴呆症.实验模型是实验模型.这就是 iPSC 的意义.在的中.在体外 (in vitro) 的情况下.在活体中,活体中机器学习是机器学习.神经退行症的神经退行症在临床前的临床前.可复制性的可复制性翻译翻译翻译翻译翻译翻译

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Non-equilibrium in the Cell01:16

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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...