探索计算机模拟模型在药物测试和生物医学研究中的潜力:系统性审查
Rahul Mittal1,2, Alan Ho1, Harini Adivikolanu1
1Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States.
Frontiers in pharmacology
|October 10, 2025
概括
计算模拟模型为生物医学研究中的动物试验提供了有希望的替代方案,提高了预测准确性和翻译相关性. 这些先进的方法支持药物开发和个性化医疗,同时与伦理研究实践保持一致.
科学领域:
- 生物医学研究生物医学研究
- 计算生物学 计算生物学
- 药物开发 药物开发
背景情况:
- 药物测试中的动物模型的局限性包括道德问题,高成本和人类翻译相关性差.
- 计算模拟模型,包括in silico方法和器官芯片技术,在复制人类生理学和病理学方面提供了更高的精度.
研究的目的:
- 系统地审查计算模拟模型作为动物研究的替代方案.
- 分析它们的应用,预测准确性,翻译价值和伦理一致性.
主要方法:
- 系统的文献审查.
- 对药物测试和生物医学研究中的计算模型研究的分析.
主要成果:
- 计算模型提高了药物开发中的预测准确性和翻译相关性.
- 它们减少了晚期失败,并支持个性化医疗.
- 这些模型减少了对动物试验的依赖,与伦理研究倡议保持一致.
结论:
- 计算模拟模型为生物医学研究和药物开发提供了一个变革性的机会.
- 解决标准化,可扩展性和监管整合方面的挑战对于它们的广泛采用至关重要.
- 这些模型是推动以人为中心的创新和减少在研究中使用动物的关键.
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