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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:
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...
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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.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Madhurananda Pahar1, Fuxiang Tao2, Bahman Mirheidari1

  • 1University of Sheffield, Sheffield, South Yorkshire, United Kingdom.

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

Early dementia detection is improved with CognoSpeak, a remote speech and video analysis tool. This technology offers a low-cost, non-invasive method for timely diagnosis and monitoring of cognitive health from home.

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Area of Science:

  • Neurology
  • Artificial Intelligence in Healthcare
  • Digital Health

Background:

  • Early dementia detection is crucial for timely treatment and support.
  • Current diagnostic pathways involve lengthy waits and require specialized staff.
  • Remote, smart technologies are needed to improve dementia diagnosis efficiency.

Purpose of the Study:

  • To evaluate CognoSpeak, a novel speech and video analysis tool, for detecting cognitive impairment.
  • To assess the feasibility and accuracy of CognoSpeak in distinguishing between dementia, mild cognitive impairment (MCI), and healthy controls (HC).

Main Methods:

  • CognoSpeak utilizes a web-based app with a virtual agent to collect speech and video recordings.
  • Subjects respond to questions designed to assess cognitive status.
  • Data from over 1000 healthy volunteers and over 200 individuals with MCI and dementia were analyzed.

Main Results:

  • Initial results from 126 subjects (8 dementia, 39 MCI, 79 HC) show promising classification accuracy.
  • CognoSpeak is a low-cost, repeatable, and non-invasive tool.
  • The system can be administered quickly and remotely, and also tracks mood and anxiety.

Conclusions:

  • CognoSpeak demonstrates potential as a valuable tool for clinical practice and trials.
  • The technology facilitates remote, at-home cognitive assessments.
  • Further analysis on a larger dataset will provide more insights into its predictive capabilities for cognition, mood, and anxiety.