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数字动物模型的伦理和法律考虑:开创性的减少和替代

Federico Germani¹, Julian W März², Alessandro Luciani³

¹Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland.

Trends in biotechnology

|September 11, 2025

概括

使用人工智能 (AI) 合成数据的数字动物模型显示出减少和取代研究中的活体动物使用的前景,推进伦理生物医学实践.

科学领域:

生物医学研究伦理学
科学领域的人工智能
计算生物学是一种计算生物学.

背景情况:

3Rs (减少,替代,改进) 的原则是伦理动物研究的核心.
传统的动物模型存在道德挑战和可复制性的局限性.
人工智能的进步为模拟生物系统提供了新的可能性.

研究的目的:

探索数字动物模型在伦理研究中的潜力.
讨论在创建这些模型时使用人工智能生成的合成数据集.
通过数字替代品来评估减少对活动物的依赖的可行性.

主要方法:

审查当前人工智能技术用于合成数据生成.
分析AI在模拟模型生物特征和行为方面的应用.
评估人工智能驱动模型替代传统动物研究的潜力.

主要成果:

人工智能生成的合成数据集可以有效地模拟模型生物的关键方面.
数字动物模型具有显著的潜力,可以减少对活体动物实验的需求.
这些模型的开发与3Rs的伦理原则保持一致并支持它们.

结论:

基于人工智能合成数据的数字动物模型代表了生物医学研究的可行和道德进步.
这些模型的进一步开发和验证对于广泛采用至关重要.
这种方法为更可持续和更道德的科学研究提供了途径.

关键词:

动物研究动物研究.数字动物模型是数字动物模型.伦理学伦理伦理学减少减少减少减少替代品替代品替代品替代品

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