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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.
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Biomarkers.

Nayrouz Denguir1, Amina Bouraoui2

  • 1Higher Institute of Medical Technologies of Tunis, tunis, tunisia, Tunisia.

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

This study introduces a novel, non-invasive system combining acoustic and electroencephalogram (EEG) biomarkers for earlier Alzheimer's disease (AD) detection. Integrating speech and brain activity significantly enhances diagnostic accuracy, enabling timely interventions.

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Data Science

Background:

  • Late diagnosis of Alzheimer's disease (AD) hinders treatment efficacy.
  • Current diagnostic methods are often invasive and detect AD at later stages.
  • Non-invasive biomarkers like acoustic signals and EEG offer potential for earlier AD detection.

Purpose of the Study:

  • To develop and validate a multimodal system for early Alzheimer's disease detection.
  • To integrate acoustic and electroencephalogram (EEG) biomarkers for improved diagnostic accuracy.
  • To enable earlier interventions and enhance patient management strategies.

Main Methods:

  • Collection of vocal and EEG data from AD patients and healthy controls.
  • Preprocessing and feature extraction of acoustic (pitch, stability) and EEG (neuronal patterns) signals.
  • Multimodal data fusion using machine learning, followed by validation via cross-validation.

Main Results:

  • Combined acoustic and EEG biomarkers show significantly improved sensitivity for AD detection compared to single modalities.
  • The system detects subtle cognitive and neuronal changes indicative of early-stage AD.
  • Preliminary results suggest the non-invasive system is suitable for clinical application.

Conclusions:

  • Integrating acoustic and EEG biomarkers offers a novel, non-invasive approach for early AD detection.
  • This multimodal system provides valuable insights for clinicians, facilitating timely interventions.
  • The approach holds potential for improved patient outcomes in Alzheimer's disease management.