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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:
Troponins
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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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Cardiac myocytes produce these hormones in response to ventricular stretching...
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Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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María Bárbara Eizaguirre1, Mario Parra2, Natalia Ciufia1

  • 1Ramos Mejía Hospital, Buenos Aires, Buenos Aires, Argentina.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
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Summary
This summary is machine-generated.

ViewMind Atlas™, a digital biomarker using eye-tracking and AI, effectively detects cognitive impairment (CI) with 74% accuracy. Its results correlate with traditional tests, showing clinical validity for CI assessment.

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Artificial Intelligence

Background:

  • Cognitive impairment (CI) poses challenges in neurodegenerative diseases and aging.
  • Traditional cognitive assessments are costly, inaccessible, and time-consuming.
  • ViewMind Atlas™ offers a novel, efficient digital biomarker solution using eye-tracking and AI.

Purpose of the Study:

  • Evaluate ViewMind Atlas™ for detecting CI.
  • Correlate ViewMind Atlas™ results with the Montreal Cognitive Assessment (MoCA) and other neuropsychological tests.
  • Assess the clinical validity of ViewMind Atlas™.

Main Methods:

  • A cross-sectional study of 154 participants (aged 45-95) with/without cognitive complaints.
  • Cognitive assessment using ViewMind Atlas™ with a head-mounted display (HMD) and eye-tracking sensors.
  • Measured saccade amplitude, fixation duration, refixation rates, and response times during visual tasks; compared with MoCA and neuropsychological battery results.

Main Results:

  • ViewMind Atlas™ achieved 78% sensitivity, 70% specificity, and 74% balanced accuracy for CI detection.
  • Significant correlations (p < 0.05) were found between ViewMind metrics and MoCA/neuropsychological test scores.
  • These findings validate the tool's ability to identify cognitive impairment.

Conclusions:

  • ViewMind Atlas™, utilizing HMD-based eye-tracking, is a valid and efficient tool for CI detection.
  • The system's strong correlation with traditional assessments supports its clinical and research utility.
  • This technology offers a promising advancement in cognitive evaluation.