Jove
Visualize
Contact Us
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 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

The triglyceride glucose-body mass index and the risk of gestational diabetes mellitus: a systematic review and meta-analysis.

Frontiers in nutrition·2026
Same author

Primary prevention of Parkinson's disease: proceedings, the 8C's and a position statement from the Parkinson's disease prevention think tank.

NPJ Parkinson's disease·2026
Same author

Alzheimer's disease risk prediction from clinical and social determinants of health: a machine learning cohort study in UK Biobank.

BMJ health & care informatics·2026
Same author

Impact of Sleep Quality on Gait Variability: Pilot Cohort Study.

JMIR aging·2026
Same author

Regulatory mechanisms and therapeutic potential of N6-methyladenosine modification in retinal diseases (Review).

Molecular medicine reports·2026
Same author

Acceptability of Technologies to Support Early Dementia Detection: Qualitative Study With the Boston University Alzheimer's Disease Center Cohort.

Journal of medical Internet research·2026
Same journal

Evidence for progressive neurodegeneration in iatrogenic cerebral amyloid angiopathy.

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

Human brain connectome profiles mediate the relationship between pathology burden and clinical phenotypes in Alzheimer's disease.

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

Kat5 cKO mouse replicates biological domain signatures associated with Alzheimer's disease.

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

Evaluation of CSF and plasma tau species as fluid surrogate candidates for tau PET in prodromal to moderate Alzheimer's disease.

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

Associations of self-reported obstructive sleep apnea with cognition and dementia risk in cognitively unimpaired middle-aged adults.

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

Inflammation profiles in Alzheimer's disease relate to cognition and neurodegeneration.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
See all related articles

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.

Zexu Li1, Haochun Huang2, Ting Fang Alvin Ang3,4,5

  • 1Dept of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.

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

Automated digital markers using large language models (LLMs) show promise for identifying mild cognitive impairment (MCI). These novel measures, derived from verbal recall tests, correlate with traditional scores and predict MCI conversion.

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:

  • Neuroscience
  • Artificial Intelligence
  • Medical Diagnostics

Background:

  • The Logical Memory delayed (LMd) recall test is a standard tool for screening Alzheimer's disease (AD) and mild cognitive impairment (MCI).
  • Current LMd test evaluation relies on subjective, labor-intensive scoring by trained professionals.
  • There is a need for objective, automated methods to assess cognitive function and detect MCI.

Purpose of the Study:

  • To develop novel, automated digital markers for MCI detection.
  • To leverage large language models (LLMs) and audio transcriptions of LMd test responses.
  • To assess the efficacy of LLM-derived semantic similarity measures as digital biomarkers for MCI.

Main Methods:

  • Analysis of audio transcriptions from the Framingham Heart Study LMd test.
  • Development of automated measures using LLM-derived text embeddings to quantify semantic similarity between a standard story and participant retellings.
  • Implementation of four embedding models: E5, MiniLM, MPNet, and Universal Sentence Encoder (USE).
  • Statistical evaluation using generalized linear mixed models and logistic regression to assess association with MCI status and conversion.

Main Results:

  • 587 LMd recordings from 282 participants were analyzed; 78 were MCI cases.
  • LLM-derived measures showed significant correlation with traditional LMd scores.
  • The USE-derived measure demonstrated the strongest negative association with MCI status (OR=0.539, P<0.001) and normal-to-MCI conversion (OR=0.344, P<0.001).

Conclusions:

  • Novel LLM-derived measures show potential as objective digital markers for MCI.
  • These automated markers can complement or enhance traditional cognitive assessments.
  • Further validation is warranted to establish these measures in clinical practice.