数字患者双胞胎用于个性化治疗和制药制造
Rene-Pascal Fischer1, Annika Volpert1, Pablo Antonino1
1Fraunhofer Institute for Experimental Software Engineering IESE, Kaiserslautern, Germany.
Frontiers in digital health
|January 22, 2024
概括
数字患者双胞胎,虚拟患者模型,为个性化医疗和药物制造提供了潜力. 然而,模拟准确性的局限性和监管障碍目前阻碍了它们的广泛临床采用.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 计算医学是一种计算医学.
背景情况:
- 数字双胞胎是物理实体的虚拟复制品,在医疗保健中越来越多地被应用为数字患者双胞胎.
- 这些模型整合了人口和个体患者数据,包括实时可穿戴数据,以模拟患者的行为.
- 人工智能和数据科学的进步正在推动围绕数字患者双胞胎开发新的健康数据生态系统.
研究的目的:
- 审查医疗保健中数字患者双胞胎的潜力和局限性.
- 探索它们在推进个性化治疗和个性化制药制造方面的作用.
- 检查相关的监管考虑和数字化的需要.
主要方法:
- 这篇叙事迷你评论综合了当前的文献,并讨论了数字患者双胞胎的概念.
- 它侧重于这些虚拟模型在个性化医疗和制药制造中的应用.
- 该审查还讨论了与数字患者双胞胎实施相关的挑战和监管影响.
主要成果:
- 数字患者双胞胎显示出改善健康监测和个性化治疗的前景.
- 目前的局限性包括缺乏可靠的模拟来预测个体药物反应.
- 个性化制药制造面临着自动化,可扩展性和成本方面的挑战.
结论:
- 数字患者双胞胎有可能弥合真正个性化的治疗方法之间的差距.
- 克服模拟和制造障碍,以及解决监管挑战,对于临床整合至关重要.
- 增加数字化对于实现数字患者双胞胎在日常医疗实践中的全部潜力至关重要.
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