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相关概念视频

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

469
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
469
Tumor Progression02:07

Tumor Progression

7.2K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
7.2K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

496
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
496
Two-Compartment Open Model: Overview01:05

Two-Compartment Open Model: Overview

512
Multicompartmental models are crucial tools in pharmacokinetics, providing a framework to understand how drugs move within the body. The two-compartment model is a crucial subtype, segmenting the body into central and peripheral compartments. The central compartment represents areas with high blood flow, such as plasma and highly perfused organs like the kidneys and liver, while the peripheral compartment signifies tissues with lower blood flow, like adipose tissue and muscle tissue.
The...
512
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

6.9K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
6.9K
Three-Compartment Open Model01:06

Three-Compartment Open Model

798
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
798

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相关实验视频

Updated: Jan 6, 2026

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
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Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

Published on: September 19, 2019

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具有快速过渡的多部门分阶段进展特有模型.

Luis Sanz-Lorenzo1, Rafael Bravo de la Parra2, Jean-Christophe Poggiale3

  • 1Depto. Matemáticas, E.T.S.I. Industriales, Technical University of Madrid, Madrid, 28006, Spain.

Journal of mathematical biology
|September 25, 2025
PubMed
概括
此摘要是机器生成的。

这项研究模拟了传染病传播的模式,即个体在隔间之间移动. 更快的过渡简化了模型,揭示了运动如何影响疾病根除和流行病,提供了流行病管理的见解.

关键词:
流行病模型 流行病模型坚持不 坚持不阶段性进展 阶段性进展时间尺度的时间尺度.

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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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科学领域:

  • 流行病学 流行病学
  • 数学建模的数学建模
  • 公共卫生 公共卫生

背景情况:

  • 传染病的动态是复杂的,受人口之间的个体移动的影响.
  • 阶段性进展模型捕捉了分区内的流行病动态.
  • 了解区间之间的过渡对于疫情控制至关重要.

研究的目的:

  • 开发和分析感染性疾病动态的数学模型,并进行区间间过渡.
  • 调查过渡率对疾病根除和流行性的影响.
  • 为不同流行病学特征的人群提供管理流行病的工具.

主要方法:

  • 在分区内使用了分阶段进展的流行病模型.
  • 在更快的时间尺度上模拟了隔间之间的个别过渡.
  • 为了分析,该模型被缩小,专注于基本的复制数和统一的持久性.

主要成果:

  • 基本的繁殖数量是减少模型中疾病根除和特有性的特征.
  • 分析揭示了过渡率在确定总体流行病结果中的关键作用.
  • 确定了一些情况,其中一个区域的特有性导致了全球的根除,反之亦然.

结论:

  • 区间间的转换显著影响传染病的动态.
  • 这项研究为了解人口流动如何影响流行病控制提供了一个框架.
  • 结果为在异质人群中管理流行病提供了实际见解.