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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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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:
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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...
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Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

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

Ying Weng1, Ke Chen1, Poosanu Thanapornsangsuth2

  • 1University of Nottingham Ningbo China, Ningbo, Zhejiang, China.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a 4D visualization system for monitoring Alzheimer's disease (AD) progression. The computer-assisted tool aids clinicians in identifying brain changes over time for better diagnosis and treatment planning.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Computer-Aided Diagnosis

Background:

  • Alzheimer's disease (AD) is a progressive neurodegenerative disorder causing cognitive decline and dementia.
  • Accurate monitoring of AD progression is vital for timely interventions and personalized treatment plans.
  • Current methods require enhanced tools for precise tracking of brain changes over time.

Purpose of the Study:

  • To develop and evaluate a computer-assisted system for intelligent monitoring of Alzheimer's disease progression.
  • To enhance clinical assessment by providing accurate visualization of brain changes.
  • To support diagnosis and treatment planning through detailed AD progression analysis.

Main Methods:

  • Development of a novel 4D monitoring system combining 3D MRI spatial data with 1D temporal data.
  • Implementation of spatio-temporal 4D dynamic visualization for analyzing brain changes over time.
  • Utilizing the 3D Slicer platform for a user-friendly clinical assessment tool.

Main Results:

  • The system demonstrated efficient monitoring of AD progression using the ADNI dataset.
  • Interactive 4D dynamic visualizations allowed tracking of brain MRI images for up to 160 months.
  • Experimental results indicate the system's capability to detect alterations in brain structure, aiding AD progression identification.

Conclusions:

  • An intelligent computer-assisted system using 4D visualization for AD progression monitoring has been presented.
  • The system provides critical information to aid clinical assessment, diagnosis, and drug treatment planning.
  • This technology offers a valuable tool for understanding and managing Alzheimer's disease progression.