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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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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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Related Experiment Video

Updated: Jan 7, 2026

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

Alexandra König1,2, Elisa Mallick3, Johannes Tröger3

  • 1ki elements UG, Saarbrücken, Germany.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

Speech analysis using a digital Speech Biomarker for Cognition (SB-C) can non-invasively detect Alzheimer's disease (AD) pathology. This tool shows promise for efficient screening in primary care settings.

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Area of Science:

  • Neuroscience
  • Biomarkers
  • Digital Health

Background:

  • Alzheimer's disease (AD) diagnosis relies on invasive biomarkers.
  • Early detection is crucial for effective management and treatment.
  • Novel non-invasive methods are needed for widespread screening.

Purpose of the Study:

  • To evaluate the efficacy of a digital Speech Biomarker for Cognition (SB-C) in discriminating between Alzheimer's disease (AD) biomarker groups.
  • To assess the performance of SB-C in identifying amyloid-β (Aβ) and p-tau status.
  • To explore the utility of speech analysis as a non-invasive diagnostic tool in primary care.

Main Methods:

  • Utilized data from the Swedish BioFINDER-Primary Care study, including patients with subjective cognitive decline (SCD) or mild cognitive impairment (MCI).
  • Extracted SB-C scores from Semantic Verbal Fluency (SVF) and RBANS List Learning tasks using a proprietary speech analysis pipeline.
  • Determined and validated optimal SB-C cut-offs to differentiate AD pathology based on cerebrospinal fluid (CSF) Aβ42/Aβ40 and p-Tau181/Aβ40 levels.

Main Results:

  • The study analyzed data from 241 participants; 79 without AD pathology and 162 with AD pathology.
  • An optimal SB-C z-score cut-off of 0.43 differentiated AD pathology with 71% accuracy (AUC=0.79 for p-Tau181/Aβ40).
  • Classification performance for CSF Aβ42/Aβ40 positivity/negativity achieved 69% accuracy (AUC=0.74).

Conclusions:

  • The digital Speech Biomarker for Cognition (SB-C) shows potential as a non-invasive and scalable tool for AD pathology detection.
  • Automated speech analysis offers a practical approach to enhance screening efficiency, reduce costs, and minimize patient burden in primary care.
  • SB-C can aid in discriminating between the presence and absence of AD pathology, supporting early identification efforts.