基于模型的精确剂量:技术状况和未来的前景
I K Minichmayr1, E Dreesen2, M Centanni3
1Dept. of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Advanced drug delivery reviews
|August 19, 2024
概括
基于模型的精确剂量 (MIPD) 通过整合数学模型和患者数据来个性化药物治疗,超越了传统的药物监测. 严格的验证是其临床应用的关键,以获得更好的患者结果.
科学领域:
- 药理学 药理学是指药理学的学科.
- 个性化医疗是个性化的医疗.
- 计算生物学 计算生物学
背景情况:
- 基于模型的精确剂量 (MIPD) 代表了个性化医学的进步,旨在优化个体患者的药物治疗方案.
- MIPD将数学建模与患者特定数据相结合,通过考虑变异性,超越了传统的治疗药物监测 (TDM).
研究的目的:
- 审查MIPD模型选择和验证中的新方法.
- 探索机器学习,生物传感器和生物标记物的整合,以提高精确剂量.
- 讨论各种医学学科中MIPD的临床证据和未来方向.
主要方法:
- 对MIPD的模型资格,选择和验证技术的当前文献的审查.
- 探索新兴技术,如机器学习算法和生物传感器,用于实时药物监测.
- 对药理动力学/药理动力学 (PK/PD) 原则和生物标志物在精确剂量模型中的整合进行分析.
主要成果:
- MIPD通过结合患者特征,药物测量和可变性,提供了一种复杂的方法来定制药物剂量.
- 机器学习和生物传感器在提高MIPD的准确性和实时应用方面表现有前途.
- 生物标志物集成可以进一步完善MIPD,用于预测药物的疗效和毒性.
结论:
- 严格的模型资格对于MIPD的安全有效的临床实施至关重要.
- 在传染病医学,瘤学,移植医学和炎症性肠道疾病中存在TDM和MIPD的证据.
- 需要进一步的研究,包括随机临床试验,以确认MIPD在改善患者结果和推进个性化医疗方面的好处.
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