数字双胞胎加速药物发现和开发:机遇和挑战
Sai Phanindra Venkatapurapu1, Lindsay Clegg1, Andrzej Nowojewski2
1Clinical Pharmacology & Quantitative Pharmacology, Clinical Pharmacology & Safety Sciences, R&D, AstraZeneca, Gaithersburg, MD 20878, USA.
Drug discovery today
|February 4, 2026
概括
数字双胞胎在药物开发和个性化医疗方面提供了变革性的潜力. 解决数据,可靠性和隐私方面的挑战对于实现它们对患者和行业的全部好处至关重要.
科学领域:
- 药理学和制药科学 药理学和制药科学
- 计算生物学和生物信息学
- 医疗保健系统和管理
背景情况:
- 数字双胞胎正在成为一种强大的工具,有可能彻底改变制药研究和患者护理.
- 数字双胞胎的整合有望加速药物开发时间表,提高个性化医学的精度.
研究的目的:
- 为整个制药价值链提供数字双胞胎应用程序的全面审查.
- 确定和讨论阻碍数字双胞胎在医疗保健中的广泛采用和有效性的关键挑战.
主要方法:
- 在药物发现,临床前研究,临床试验,制造和市场后监测中对数字双胞胎应用的系统文献综述.
- 分析当前的挑战,包括数据集成,模型验证,监管障碍和隐私问题.
主要成果:
- 数字双胞胎可以显著降低药物开发的成本和失败率.
- 应用范围从早期目标识别到市场后的患者管理,提高治疗的安全性和有效性.
- 仍然存在重大障碍,包括数据互操作性,模型可靠性,监管框架和患者数据安全性.
结论:
- 克服数据集成,模型可靠性,监管接受和隐私方面的挑战对于释放数字双胞胎的全部潜力至关重要.
- 需要共同努力和技术创新,才能在整个医疗生态系统中有效实施数字双胞胎.
- 数字双胞胎对改善患者的治疗结果和优化制药行业具有巨大的前景.
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