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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

315
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...
315
Blood Flow01:29

Blood Flow

75.4K
Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.
75.4K
Autoregulation of Blood Flow01:17

Autoregulation of Blood Flow

7.4K
Autoregulation mechanisms are characterized by their inherent capacity for self-regulation without necessitating specific nervous stimulation or endocrine control. These mechanisms facilitate the adjustment of blood flow and, therefore, perfusion specific to each tissue region. This self-regulation encompasses chemical signals and myogenic controls.
Chemical Signaling in Autoregulation
Chemical signaling operates at the precapillary sphincter level, inciting either contraction or relaxation....
7.4K
Neural Regulation of Blood Pressure01:18

Neural Regulation of Blood Pressure

6.8K
The neural regulation of blood pressure involves intricate interactions between the autonomic nervous system (ANS) and cardiovascular system, ensuring adequate perfusion of tissues. This regulation primarily occurs through baroreceptor and chemoreceptor reflexes, involving both short-term and long-term mechanisms.
Baroreceptor Reflex
Baroreceptors, located in the carotid sinuses and aortic arch, detect changes in blood pressure. When blood pressure rises, these stretch-sensitive receptors...
6.8K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

236
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...
236
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

417
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
417

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Stroke Work Damping Ratio is Increased in Trained Athletes.

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Arterial-Ventricular Coupling Impairment is Evidenced in Both Normal and Ischemic Subjects by Applying Cluster Analysis.

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相关实验视频

Updated: Jan 9, 2026

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
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Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

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使用物理信息的神经网络建模动脉血流.

L Machado Da Silva, F Uslenghi, J P Borthagaray

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    这项研究引入了一种使用物理信息神经网络 (PINNs) 模拟动脉血流的新计算模型. 该模型准确预测血液动力学,为心血管研究和临床应用提供了宝贵的工具.

    科学领域:

    • 生物医学工程 生物医学工程
    • 计算流体动力学的流体动力学.
    • 人工智能在医学中的应用

    背景情况:

    • 心血管疾病需要精确模拟血流动力学.
    • 传统方法在复杂的动脉几何形状和不完整的数据上扎.
    • 物理信息神经网络 (PINNs) 通过将物理定律与深度学习相结合,提供了一种新的方法.

    研究的目的:

    • 开发和验证使用PINNs模拟动脉血流和壁的相互作用的计算模型.
    • 准确地表示心血管系统中的生物力学现象.
    • 即使使用稀疏或不完整的数据集,也可以进行可靠的模拟.

    主要方法:

    • 开发一个利用物理信息神经网络 (PINNs) 的计算框架.
    • 在PINN架构中整合纳维埃-斯托克斯方程和相关边界条件.
    • 纳入物理约束和特定数据集用于模型培训和验证.

    主要成果:

    • 基于PINN的模型成功模拟了动脉血流动力学和壁面相互作用.
    • 在动脉网络中准确预测关键的血液动力学参数,包括压力和速度.
    • 经过培训后,已经证明了快速,准确的预测潜力.

    更多相关视频

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    Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
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    相关实验视频

    Last Updated: Jan 9, 2026

    Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
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    In Vitro 3D Cell-Cultured Arterial Models for Studying Vascular Drug Targeting Under Flow
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    In Vitro 3D Cell-Cultured Arterial Models for Studying Vascular Drug Targeting Under Flow

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    Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
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    Published on: December 3, 2018

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    结论:

    • 开发的PINN模型为心血管研究提供了强大而高效的工具.
    • 这种方法增强了心血管系统中生物机械现象的模拟.
    • 该框架对临床应用和未来扩展到复杂的生理情景有希望.