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相关概念视频

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

69
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...
69
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

487
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
487
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

93
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...
93
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

39
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...
39
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

123
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
123
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

70
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.
70

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相关实验视频

Updated: Jun 28, 2025

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

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结合基于代理的模型和集体卡尔曼波器,实现实时人群建模.

Keiran Suchak1, Minh Kieu1,2, Yannick Oswald1

  • 1School of Geography, University of Leeds, Leeds, UK.

Royal Society open science
|April 16, 2024
PubMed
概括

这项研究将整体卡尔曼波器 (EnKF) 与基于代理的人群模型集成在一起,以提高实时行人模拟的准确性. EnKF方法增强了模型与现实世界的系统的结合,为公共空间管理提供了效率和现实主义.

关键词:
基于代理的模型基于代理的模型.人群模拟人群的模拟数据同化数据同化数据驱动的基于代理的建模.整体卡尔曼过器的组合

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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

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科学领域:

  • 计算社会科学 计算社会科学
  • 模拟建模模的模拟模型.
  • 数据同化数据同化

背景情况:

  • 基于代理的建模被广泛用于模拟异质个体,特别是在行人动态中.
  • 基于实时代理的模拟通常会随着时间的推移从真实世界的系统中漂移,影响准确性.

研究的目的:

  • 为了提高基于代理人的人群模型的实时准确性.
  • 用数据同化技术解决基于代理的模拟中的分歧问题.

主要方法:

  • 整体卡尔曼波器 (EnKF) 与基于代理的群众模型的集成.
  • 使用同化数据对基于代理的模型进行实时状态更新.
  • 使用纽约大中央火车站的案例研究进行演示.

主要成果:

  • EnKF显著提高了基于代理的行人模拟的准确性.
  • 这种方法有效地将模型的状态与不断发展的真实系统保持一致.
  • 与现有方法相比,已经证明了效率的优势.

结论:

  • EnKF是实时基于代理的行人模拟的可行和有效方法.
  • 这种方法提供了一个更现实的复杂人群动态的表现.
  • 潜在的应用包括公共空间管理和灾难应对计划.