Jove
Visualize
联系我们

相关概念视频

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

749
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
749
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

516
Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
516

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

SMaRT-Net: A novel framework of 7T brain MRI superresolution for Alzheimer's disease diagnosis and mild cognitive impairment prognostication.

NeuroImage·2026
Same author

Factors Associated With Financial Toxicity Among Family Caregivers of People Living With Dementia in South Korea: A Cross-Sectional Survey.

Research in gerontological nursing·2026
Same author

Self-Reported Driving Problems Predict Future Traffic Crashes in Older Men: Prevalence and Determinants of Unrecognized Imminent Risk.

Journal of the American Geriatrics Society·2026
Same author

Design and Validation of a Hand Interossei Muscle Dynamometer (HIMDNA) for Finger Abduction and Adduction Strength Measurement.

Annals of biomedical engineering·2026
Same author

The impact of bedtime alignment on sleep health in older couples: gender-sensitive analysis.

BJPsych open·2026
Same author

Deep learning model for identification of metabolic bone disease of prematurity using wrist radiographs.

Scientific reports·2026
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

相关实验视频

Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K

生物标志物 生物标志物

Hee Won Yang1, Minwoo Cho2, Jeong Lan Kim1,3

  • 1Chungnam National University Hospital, Daejeon, Daejeon, Korea, Republic of (South).

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
PubMed
概括
此摘要是机器生成的。

一个新的深度学习模型整合了语音和绘图数据,显示了对诊断痴呆症的希望. 单独的语音分析是有效的,而图纸提高了多类准确性,有助于早期检测.

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

相关实验视频

Last Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

科学领域:

  • 人工智能的人工智能
  • 医学诊断 医学诊断 医学诊断
  • 神经科学是一个神经科学.

背景情况:

  • 早期和准确的痴呆症诊断对于有效的管理至关重要.
  • 传统的查方法可能是主观的,耗时的.
  • 整合各种数据模式为改善诊断准确性提供了潜力.

研究的目的:

  • 开发一种用于痴呆症诊断的多式模式深度学习模型.
  • 整合来自选测试的语音和绘图数据.
  • 评估不同数据模式对分类性能的影响.

主要方法:

  • 开发了一个多式联络深度学习模型,使用来自1,091名参与者的语音和五角形绘图数据.
  • 语音数据被转换为Mel频率头系数 (MFCC) 谱图;图纸被预处理成灰度图像.
  • 用DenseNet和多层感知器 (MLP) 来进行特征提取,并对最终模型进行加权集体学习.

主要成果:

  • 多式模式模型在三组分类 (正常,MCI,痴呆症) 中实现了66.3%的准确性和0.73的AUC.
  • 对于二元分类 (正常与痴呆症),准确度达到86.9%,AUC为0.86.
  • 仅仅语音数据表现出强的表现;绘制数据改善了多类分类.

结论:

  • 综合语音,绘图和临床数据的多式深度学习模型显示了诊断认知障碍和痴呆症的巨大潜力.
  • 这些发现突显了结合各种数据模式以提高诊断准确性的价值.
  • 该方法为在临床和现实环境中早期发现痴呆症提供了可扩展的解决方案.