药理动力学/药理动力学麻醉模型包含psi-Caputo分数衍生物
Mohamed Abdelaziz Zaitri1, Hanaa Zitane2, Delfim F M Torres2
1Center for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro, 3810-193 Aveiro, Portugal; Department of Mathematics, University of Djelfa, 17000 Djelfa, Algeria.
这项研究引入了一种新的分数麻醉模型,使用 ψ-Caputo 衍生物来理解药物动态. 该模型通过考虑个体患者的特征来增强个性化的麻醉药物管理.
科学领域:
- 麻醉学 麻醉学
- 数学生物学 数学生物学
- 药理动力学/药理动力学
背景情况:
- 麻醉诱导需要精确的药物剂量.
- 目前的模型可能无法完全捕捉药物反应中的个体患者变化.
研究的目的:
- 开发一种新的药理动力学/药理动力学 (PK/PD) 模型用于麻醉诱导.
- 将 ψ-Caputo 分数导数纳入药物动态的增强建模.
主要方法:
- 开发了一个非均的 ψ-Caputo 分数系统.
- 利用皮卡德的代过程来导出解决方案.
- 使用MATLAB进行数值分析,使用不同的 ψ 函数和分数顺序.
主要成果:
- ψ函数和分数顺序对个体特异性特征的建模有很大的影响.
- 该模型有效地描述了麻醉期间药物分发动态.
- 数字模拟证明了微积分计算对药物反应建模的影响.
结论:
- 新的分数PK/PD模型推进了对麻醉中个性化药物反应的理解.
- 这种方法允许更精确和量身定制的麻醉药物管理.
- 该模型强调了分数导数在捕捉复杂生物系统中的重要性.
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