Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Mechanistic Models: Overview of Compartment Models

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

MRI-Based Pressure Gradient Mapping in Patient-Specific Models of Coarctation of the Aorta.

medRxiv : the preprint server for health sciences·2026

Same author

Impact of guideline definitions on right ventricular diameter in echocardiography: an automated analysis in controls and patients with pulmonary hypertension.

Echo research and practice·2026

Same author

SDFStent: Real-time interactive virtual stenting via SDF deformation fields.

ArXiv·2026

Same author

Per-vessel myocardial blood flow improvement after coronary artery bypass graft surgery quantified by CT myocardial perfusion imaging.

Journal of cardiovascular computed tomography·2026

Same author

A Continuum of Atrial Peristalsis Initiates the Bicuspid to Quadricuspid Valve Transition.

bioRxiv : the preprint server for biology·2026

Same author

Simulations predict improved valve performance without direct leaflet intervention after neonatal truncus arteriosus repair.

The Journal of thoracic and cardiovascular surgery·2026

Same journal

Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data.

ArXiv·2026

Same journal

Overview of the MedHopQA track at BioCreative IX: track description, participation and evaluation of systems for multi-hop medical question answering.

ArXiv·2026

Same journal

Characterizing Universal Object Representations Across Vision Models.

ArXiv·2026

Same journal

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

ArXiv·2026

Same journal

What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework.

ArXiv·2026

Same journal

The Origin of Life in the Light of Evolution.

ArXiv·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: Jan 17, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

心脏力学建模:最近的发展和当前的挑战

Aaron L Brown^1,2, Ju Liu³, Daniel B Ennis^2,4,5

¹Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.

|September 18, 2025

概括

此摘要是机器生成的。

特定于患者的计算心脏模型有助于心血管研究,但构建起来很复杂. 简化必要的复杂性是临床使用的关键.

关键词:

心脏数字双胞胎是什么意思心脏机械学心脏机械学计算心脏病学计算心脏病学多物理模型建模针对患者的特定建模.

更多相关视频

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

相关实验视频

Last Updated: Jan 17, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

科学领域:

心血管研究的心血管研究.
计算建模计算建模
生物医学工程生物医学工程

背景情况:

特定于患者的计算心脏模型在心血管研究和临床应用中具有重大潜力,包括治疗规划和设备评估.
由于心脏的复杂性,构建这些模型具有挑战性,需要仔细考虑解剖学,材料特性和物理.
当前的建模方法通常涉及生理学准确性和计算复杂性之间的权衡.

研究的目的:

审查患者特定计算心脏建模的最新进展.
确定和讨论该领域尚未解决的问题,特别是关于心脏组织力学的问题.
为突出平衡模型复杂性与临床翻译的生理学真实性的重要性.

主要方法:

关于计算心脏建模技术的最新文献的综述.
分析模型构建中的关键考虑因素:解剖结构重建,中介结构表示,材料行为,几何和边界条件,多物理合和数值方法.
强调心脏组织力学及其相关挑战.

主要成果:

最近在计算心脏建模的各个方面取得了进展,从基于图像的解剖学重建到多物理合.
在准确地描述心肌中心结构和物质行为方面,仍然存在重大挑战.
数值方法和边界条件的选择对模型忠实性和计算成本产生了重大影响.

结论:

澄清哪些复杂的特征对生理学准确性至关重要,以及那些可以简化的特征至关重要.
减少不必要的复杂性将促进患者特定计算心脏模型的临床翻译.
需要进一步的研究,以优化忠实性和复杂性之间的平衡,以便有效的临床应用.