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: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

97
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...
97
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

182
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
182
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

184
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
184
Transformers in Distribution System01:27

Transformers in Distribution System

127
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
127
Three-Compartment Open Model01:06

Three-Compartment Open Model

284
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...
284
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

109
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.
109

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

Electrically Switchable Ultraslow Dispersionless Polaritons via Twist Engineering in van der Waals Heterostructures.

Nano letters·2026
Same author

tca-miR-3835-5p-ACPR-ACC neuroendocrine axis controls locomotor behavior via lipid metabolism in Tribolium castaneum.

Pest management science·2026
Same author

Postoperative anlotinib plus radiotherapy in patients with newly diagnosed, unmethylated O<sup>6</sup>-methylguanine-DNA methyltransferase glioblastoma: A single-arm, phase 2 study.

Cancer·2026
Same author

Diagnostic sensitivity and safety of visceral pleural biopsy under semi-rigid medical thoracoscopy in patients with undiagnosed exudative pleural effusions: a retrospective study.

Therapeutic advances in respiratory disease·2026
Same author

From Scarcity to Synthesis: Continual Learning Integrates Supervised and Unsupervised CT Image Recovery Models.

IEEE journal of biomedical and health informatics·2026
Same author

Epigenetic Dynamics of Human Spermatogenesis and Their Dysregulation in Non-Obstructive Azoospermia.

Protein & cell·2026

相关实验视频

Updated: Jul 24, 2025

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.8K

一个嵌入式变压器的多任务模型用于剂量分配预测.

Lu Wen1, Jianghong Xiao2, Shuai Tan1

  • 1School of Computer Science, Sichuan University, Chengdu, P. R. China.

International journal of neural systems
|July 8, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了用于自动化放射治疗计划的变压器嵌入式多任务剂量预测 (TransMTDP) 网络. 这种新的方法提高了预测辐射剂量分布的准确性和效率,改善了癌症治疗.

关键词:
剂量预测的预测一致性约束的约束梯度信息 梯度信息是一个信息.双线是双线的线路.多任务学习是多任务学习.变压器变压器变压器变压器

更多相关视频

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
09:49

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

Published on: April 24, 2020

10.0K
Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.4K

相关实验视频

Last Updated: Jul 24, 2025

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.8K
A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
09:49

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

Published on: April 24, 2020

10.0K
Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.4K

科学领域:

  • 医学物理 医学物理
  • 辐射疗法 辐射疗法
  • 人工智能的人工智能

背景情况:

  • 放射治疗计划目前是主观和耗时的,严重依赖放射科医生的经验.
  • 实现临床上可接受的放射治疗计划需要代调整,影响效率和一致性.

研究的目的:

  • 开发一种自动化系统,用于精确预测放射治疗中的辐射剂量分布.
  • 引入一个新的变压器嵌入式多任务剂量预测 (TransMTDP) 网络.

主要方法:

  • 跨MTDP网络整合了三个任务:主剂量预测,辅助异剂量线预测和辅助梯度预测.
  • 使用共享编码器的多任务学习策略,通过异位剂和梯度一致性损失来增强.
  • 嵌入了变压器,以捕捉剂量图中的远程依赖,利用解剖对称性.

主要成果:

  • 与最先进的方法相比,TransMTDP网络在直肠和头癌数据集上的表现优越.
  • 具有一致性损失的多任务方法改善了剂量预测的稳定性和准确性.
  • 变压器组件有效地捕获了剂量图中的全球特征和远程依赖.

结论:

  • 拟议的TransMTDP网络为放射治疗剂量预测提供了一个自动化,准确和高效的解决方案.
  • 这种人工智能驱动的方法有可能优化放射治疗计划,减少主观性和时间.
  • 多任务学习和变压器架构的整合代表了辐射瘤学医学图像分析的重大进步.