药量计在药物开发中的应用
Yuan Xiong1, Mahesh N Samtani1, Daniele Ouellet2
1Johnson and Johnson, Raritan, NJ, USA.
Advanced drug delivery reviews
|December 19, 2024
概括
先进的计算工具和药量测量 (MIDD) 加快了药物开发. 本文探讨了整合各种建模工具的最佳策略,以最大限度地提高价值,并为制药研究中的决策提供信息.
科学领域:
- 计算科学是一种计算科学.
- 制药指标 (Pharmacometrics) 是一个指标.
- 药物开发 药物开发
背景情况:
- 在过去的二十年中,药物开发的计算工具取得了重大进展.
- 通过基于模型的药物开发 (MIDD),药量测量在整个药物生命周期中变得至关重要.
- 新兴的数据和计算机科学技术正在迅速与现有的制药计算工具进行整合.
研究的目的:
- 讨论不同优势的各种建模工具如何一起使用.
- 为应对选择最佳MIDD策略以获得最大决策价值的挑战.
- 突出药理学在现代药物开发中的不断变化的作用.
主要方法:
- 审查药物研究中现有的计算和建模工具.
- 讨论从数据和计算机科学中整合新技术.
- 分析不同的药量计方法及其在药物开发中的应用.
主要成果:
- 药理测量 (MIDD) 是有效的药物发现,开发和监管过程不可或缺的.
- 计算工具和MIDD方法可以提高数据利用率,降低成本,提高生产率.
- 重点转向优化MIDD决策策略,而不是工具本身.
结论:
- 各种现有的建模工具,每个都有独特的优势,可以结合起来,有效地为药物开发提供信息.
- 整合不同的计算方法是最大化MIDD价值的关键.
- 药量计学社区面临的挑战是选择最佳策略,以利用这些工具获得更好的药物开发结果.
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