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相关概念视频

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

183
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,...
183
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

96
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...
96
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
64
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
81
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

78
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
78
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

139
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...
139

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相关实验视频

Updated: Jul 23, 2025

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
08:08

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model

Published on: June 11, 2014

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通过连续模型和贝叶斯推理量化组织生长,形状和碰撞.

Carles Falcó1, Daniel J Cohen2,3, José A Carrillo1

  • 1Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK.

Journal of the Royal Society, Interface
|July 19, 2023
PubMed
概括

这项研究模拟了上皮组织的自我组装,发现人群压力,而不是随机运动,可以准确地预测组织工程应用的多组织相互作用和碰撞.

关键词:
贝叶斯的推理 贝叶斯的推理细胞迁移 细胞迁移连续模型的连续模型.可识别性分析分析可识别性分析人口压力的人口压力.

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Three-Dimensional Shape Modeling and Analysis of Brain Structures
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Three-Dimensional Shape Modeling and Analysis of Brain Structures

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Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
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Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

Published on: April 16, 2017

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相关实验视频

Last Updated: Jul 23, 2025

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
08:08

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model

Published on: June 11, 2014

15.9K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

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Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
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科学领域:

  • 发展生物学 发展生物学
  • 生物物理学的生物物理.
  • 计算生物学 计算生物学

背景情况:

  • 生物系统涉及跨尺度的复杂相互作用.
  • 了解组织自我组装对于组织工程至关重要.

研究的目的:

  • 量化描述多个上皮层的自我组装.
  • 为了比较组织生长和碰撞动态的连续模型.

主要方法:

  • 利用实验数据,数学建模和贝叶斯参数推理.
  • 采用了两个连续模型:随机细胞运动和人口压力梯度.
  • 校准模型以复制单个组织扩张特征.

主要成果:

  • 这两种模型都准确地模拟了单个组织扩张.
  • 随机运动模型在多组织相互作用中显示了不现实的行为.
  • 种群压力模型更好地匹配相互作用组织的实验数据.

结论:

  • 人口压力模型更适合预测多组织动态.
  • 组织形状和压力显著影响多组织碰撞.
  • 这种方法有助于设计组织复合材料和推进组织工程.