药理学和神经网络的桥梁:深入研究神经普通微分方程
Idris Bachali Losada1, Nadia Terranova1
1Quantitative Pharmacology, Ares Trading S.A. (An Affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland.
CPT: pharmacometrics & systems pharmacology
|July 12, 2024
概括
神经常规微分方程 (神经ODE) 提供了使用临床数据的连续系统的先进建模. 本综述探讨了它们在药物开发方面的潜力,特别是由于试验数据稀少.
科学领域:
- 计算生物学 计算生物学
- 制药指标 (Pharmacometrics) 是一个指标.
- 机器学习 机器学习
背景情况:
- 机器学习的进步为分析临床数据提供了新的方法.
- 神经常规微分方程 (神经ODE) 集成了动态系统的机械学和深度学习方法.
- 现有的模型与临床试验典型的稀疏和不规则的数据作斗争.
研究的目的:
- 审查神经ODEs的基本原理.
- 评估神经ODEs在处理稀疏和不规则的临床试验数据方面的能力.
- 探索神经ODEs在基于模型的药物开发中的应用.
主要方法:
- 神经常规微分方程 (神经ODE) 的综述.
- 分析应用神经ODEs在稀疏和不规则时间的临床试验数据中的挑战.
- 检查潜在的解决方案,包括使用假设.
主要成果:
- 神经ODE在模拟连续动态系统方面表现有前途.
- 在将神经ODE应用于真实世界的临床试验数据集方面存在挑战.
- 解决数据稀疏性和不规则性对于有效实施至关重要.
结论:
- 神经ODE代表了临床数据分析的一个有前途的进步.
- 需要进一步的研究来优化神经ODE用于稀疏和不规则的临床试验数据.
- 神经ODE的成功应用可以增强基于模型的药物开发和临床药理学.
相关概念视频
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
68
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
68
Nonlinear Pharmacokinetics: Overview
340
Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
Nonlinearity can arise due to the saturation of plasma protein-binding or...
340
Nonlinear Pharmacokinetics: Bioavailability and Protein-Drug Binding
156
When a drug follows nonlinear pharmacokinetics, its bioavailability, the amount of the drug that reaches the systemic circulation, can change with different doses. This is due to the presence of a saturable pathway. The pathway becomes saturated as the drug concentration increases, decreasing the absorption rate. Consequently, the drug's bioavailability may be lower than expected at higher doses.
To quantify the extent of bioavailability, pharmacologists often use a parameter called .
To quantify the extent of bioavailability, pharmacologists often use a parameter called .
156
Pharmacokinetic Models: Comparison and Selection Criterion
66
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
66
Neuronal Communication
828
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
828
Pharmacokinetic Models: Overview
647
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
647


