Jove
Visualize
Contact Us

Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

749
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...
749
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

516
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...
516

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Integrative Identification of Anti-Photoaging Peptides From Stress-Tolerant Microorganisms via Machine Learning and KEAP1-NRF2 Docking.

Journal of peptide science : an official publication of the European Peptide Society·2026
Same author

Clinical Utility of AI-Enabled CT-to-MRI Translation for Degenerative Spinal Disorders: A Retrospective Reader Study.

Diagnostics (Basel, Switzerland)·2026
Same author

Microglia modulate concussion biomarkers and cognitive recovery in male mice.

bioRxiv : the preprint server for biology·2026
Same author

PEEC: The Protected Entities Ethics Checklist for Collecting Speech Data From Vulnerable Clinical Populations.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Exploring the health benefits of a mobile-based multidomain lifestyle program for older adults living in assisted living facilities: a qualitative study.

BMC geriatrics·2026
Same author

Combination of Intermittent Hypoxic Exposure and Exercise Improves Body Composition and Glucose Tolerance in High-Fat Diet-Induced Obese Mice.

Medicine and science in sports and exercise·2026
Same journal

Unveiling the procoagulant state in Alzheimer's disease: A novel PET imaging strategy.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Estimated labor market outcomes of people progressing from preclinical to early-stage Alzheimer's disease in the United States.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Amyloid exacerbates tau and alpha-synuclein pathologies, behavioral impairments, and neuroinflammation in a mixed dementia model.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Reply to "Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities".

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

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

Published on: January 28, 2014

37.1K

Biomarkers.

Sunghye Cho1, Taehwan Kim2, Sung-Woo Kim3

  • 1Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA.

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

This study shows that combining speech text and acoustic features can accurately distinguish Alzheimer's disease (AD) from dementia with Lewy body (DLB). This automated approach aids in large-scale patient screening for clinical trials.

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

Related Experiment Videos

Last Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

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

Published on: January 28, 2014

37.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

Area of Science:

  • Neurology
  • Computational Linguistics
  • Biomedical Engineering

Background:

  • Alzheimer's disease (AD) and dementia with Lewy body (DLB) share early symptoms like memory and cognitive issues.
  • Differentiating AD from DLB is challenging for large-scale patient screening.
  • Automated classification using speech features is proposed to distinguish AD from DLB.

Purpose of the Study:

  • To develop and evaluate automatic classification systems for distinguishing Alzheimer's disease (AD) from dementia with Lewy body (DLB).
  • To investigate the efficacy of combining text and acoustic speech features for differential diagnosis.
  • To facilitate scalable screening of patients for clinical trials and interventions.

Main Methods:

  • Collected speech data from patients with AD (ADCI) and DLB (DLBCI), and healthy controls (HC).
  • Extracted text embeddings using a large language model (KLUE-RoBERTa-base) and acoustic features using OpenSMILE.
  • Applied Principal Component Analysis for feature reduction and experimented with data-level and decision-level fusion for Multilayer Perceptron classifiers.

Main Results:

  • The fused model (text + acoustic features) achieved 75.7% accuracy (AUC=0.77) for distinguishing HC from all patients.
  • For ADCI vs. DLBCI classification, decision-level fusion yielded the highest performance with 80.3% accuracy (AUC=0.82).
  • Fused models outperformed text-only or acoustic-only approaches.

Conclusions:

  • Automatic classification of ADCI and DLBCI using speech analysis is a promising tool.
  • This method can significantly aid in the large-scale screening of patients for clinical trials.
  • Speech-based analysis offers a viable non-invasive approach for differential diagnosis.