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相关概念视频

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

140
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
140
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

4.6K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
4.6K
Three-Compartment Open Model01:06

Three-Compartment Open Model

421
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...
421
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

5.9K
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...
5.9K
Diffusion01:12

Diffusion

198.5K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
198.5K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

126
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...
126

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相关实验视频

Updated: Sep 9, 2025

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

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双向贝塔调扩散模型

Tianyi Zheng, Jiayang Zou, Peng-Tao Jiang

    IEEE transactions on pattern analysis and machine intelligence
    |August 28, 2025
    PubMed
    概括
    此摘要是机器生成的。

    统一的培训对于扩散模型来说是不理想的. 一个新的双向β调节扩散模型 (BB-TDM) 使用β分布进行更好的时间步骤采样,改善生成模型训练.

    更多相关视频

    Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
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    Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

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    Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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    Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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    相关实验视频

    Last Updated: Sep 9, 2025

    Diffusion Imaging in the Rat Cervical Spinal Cord
    10:46

    Diffusion Imaging in the Rat Cervical Spinal Cord

    Published on: April 7, 2015

    11.8K
    Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
    14:12

    Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

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    Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
    09:33

    Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

    Published on: July 28, 2013

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    科学领域:

    • 机器学习
    • 生成模型
    • 深度学习

    背景情况:

    • 扩散模型产生高质量的样本,但统一的训练是不理想的.
    • 分析显示向前扩散过程中的不均分布变化,最初的变化很快.

    研究的目的:

    • 从理论上分析扩散模型的前进过程.
    • 提出一种新的扩散模式培训策略,以解决非最佳的统一时间步骤采样.

    主要方法:

    • 对前向扩散过程进行全面的理论分析.
    • 介绍双向贝塔调扩散模型 (BB-TDM).
    • 在BB-TDM中利用Beta分布进行时间步骤采样.

    主要成果:

    • 最初的分布迅速汇聚到高斯式,在这个过程的早期减少了差异.
    • 统一的时间步骤采样无法有效地捕捉这些动态.
    • BB-TDM增强了初始分布之间的分离,并使采样与前进过程属性保持一致.

    结论:

    • BB-TDM有效地缓解了融合速度,并改善了扩散模型培训.
    • 实验证实了BB-TDM在基准数据集和扩散模型中的有效性.