Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

118
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...
118
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

153
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.
153
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.2K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.2K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

131
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...
131

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

Learning dynamical systems with biochemically informed neural ordinary differential equations.

bioRxiv : the preprint server for biology·2026
Same author

Dynamics of attractor transitions in Boolean networks under noise.

Chaos (Woodbury, N.Y.)·2026
Same author

Digital Twins are a Key Enabling Technology for Personalized Medicine.

Bulletin of mathematical biology·2026
Same author

Hybrid computational modeling methods for systems biology.

Progress in biomedical engineering (Bristol, England)·2025
Same author

The promise of digital twins as a tool for personalized approaches in nephrology.

Nature reviews. Nephrology·2025
Same author

Understanding Racial Disparities in Lung Transplant Outcomes: A Comparative Study of White and Hispanic Patients.

Clinical transplantation·2025

相关实验视频

Updated: Sep 17, 2025

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving SSLE of Glass Crystals
07:57

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving SSLE of Glass Crystals

Published on: April 25, 2017

8.5K

个性化计算模型用于构建医疗数字双胞胎.

Adam Knapp1, Daniel A Cruz1, Borna Mehrad1

  • 1Department of Medicine, University of Florida, Gainesville, FL, USA.

Journal of the Royal Society, Interface
|July 1, 2025
PubMed
概括

数字双胞胎技术正在适应医疗保健,面临着个性化复杂计算模型的挑战. 我们介绍了一种新的算法,使用集成卡尔曼波器来弥合宏观状态和微观状态数据,以改善患者特定预测.

科学领域:

  • 生物医学工程 生物医学工程
  • 计算生物学 计算生物学
  • 数字健康数字健康

背景情况:

  • 数字双胞胎技术起源于工程,越来越多地应用于生物医学.
  • 用患者数据来个性化计算模型对于推进个性化医学的发展至关重要.
  • 复杂的生物医学模型,包括基于代理的模型,缺乏标准化的个性化方法.

研究的目的:

  • 开发一种新的算法,以动态校准复杂的生物医学模型,以满足个体患者的需求.
  • 为了弥合临床可测量的宏观状态和详细的微观状态数据之间的差距,以实现模型个性化.
  • 在个性化医学中提高基于模型的预测的准确性.

主要方法:

  • 在宏观状态层面应用集体卡尔曼波器,一种数据同化技术.
  • 将卡尔曼过器中的宏观状态更新与相应的微观状态更新联系起来.
  • 确保微态与所需的宏态和模型动态保持一致.

主要成果:

  • 已经提出了个性化复杂生物医学模型的新算法.
  • 该方法有效地弥合了宏观状态和微观状态数据,以改进模型校准.
  • 基于代理的模型和其他复杂的生物医学模拟的增强个性化.
关键词:
基于代理的模型基于代理的模型.数据同化数据同化整体卡尔曼过器的组合医疗数字双胞胎医疗数字双胞胎

更多相关视频

A Personalized 3D-Printed Model for Preoperative Evaluation in Thyroid Surgery
04:42

A Personalized 3D-Printed Model for Preoperative Evaluation in Thyroid Surgery

Published on: February 17, 2023

1.5K
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

1.8K

相关实验视频

Last Updated: Sep 17, 2025

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving SSLE of Glass Crystals
07:57

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving SSLE of Glass Crystals

Published on: April 25, 2017

8.5K
A Personalized 3D-Printed Model for Preoperative Evaluation in Thyroid Surgery
04:42

A Personalized 3D-Printed Model for Preoperative Evaluation in Thyroid Surgery

Published on: February 17, 2023

1.5K
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

1.8K

结论:

  • 拟议的算法提供了一个标准化的方法来个性化复杂的生物医学模型.
  • 这种方法提高了患者特定预测的准确性,推进了个性化医疗.
  • 促进数字双胞胎技术在临床实践中的整合.