数字药理双胞胎:跨越多尺度建模和精准医学的人工智能:DIGPHAT联盟
Jean-Baptiste Woillard1, Sébastien Benzekry2, Julie Josse3
1Pharmacology and Transplantation, Inserm U1248, University of Limoges, 87000 Limoges, France; Department of Pharmacology, Toxicology and Pharmacovigilance, Dupuytren University Hospital (CHU Dupuytren), 87000 Limoges, France.
概括
数字药理双胞胎为个性化医学创建虚拟患者复制品. 这些先进的模拟可以预测药物反应,提高治疗疗效,减少不良反应.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
- 精准医学是一门精准的医学.
背景情况:
- 目前对药物治疗的一体化方法存在局限性.
- 个性化医疗需要先进的工具来预测个体治疗反应.
- 数字双胞胎为模拟生物系统提供了一个新的范式.
研究的目的:
- 探索数字药理双胞胎的概念和潜力.
- 详细介绍各种数据类型的集成,以创建这些双胞胎.
- 突出开发和验证预测模型的方法.
主要方法:
- 不同质的数据的整合:多组,药理动力学,药理动力学,临床和环境.
- 先进的机械学和机器学习模型的协同应用.
- 计算模拟框架的开发和验证.
主要成果:
- 数字双胞胎可以高准确地预测个体治疗反应.
- 来自国际倡议的说明性例子证明了可行性.
- 概述了开发和验证的方法框架.
结论:
- 数字药理双胞胎对精准医学具有变革性的潜力.
- 关键要求包括模型互操作性,强大的数据集成和严格的验证.
- 这些工具有望提高药物的有效性,最大限度地减少不良反应,并使患者受益.
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