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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.5K
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

4.6K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
4.6K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

150
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
150

You might also read

Related Articles

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

Sort by
Same author

Bottom-Up Absorptive and Stretchable Plasmonic Tape for Field-Deployable In Vivo Fruit Safety Surveillance.

ACS sensors·2026
Same author

Mapping and engineering the human cell-cell interactome.

Nature biotechnology·2026
Same author

Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning.

BME frontiers·2026
Same author

Snapshot 3D image projection using a diffractive decoder.

Light, science & applications·2026
Same author

Autonomous Uncertainty Quantification for Computational Point-of-Care Sensors.

ACS nano·2026
Same author

Universal and transferable attacks on pathology foundation models using microscopic perturbations.

Light, science & applications·2026
Same journal

PCSK5 promotes angiogenesis and cardiac repair after myocardial infarction.

Nature communications·2026
Same journal

PfApiAT2 is a proline transporter essential for the transmission of Plasmodium falciparum by the mosquito vector.

Nature communications·2026
Same journal

Transient distortions of the South Atlantic Anomaly radiation environments driven by electric fields.

Nature communications·2026
Same journal

Structural basis of the regulation by CDK11 kinase of early spliceosome activation and evidence for its proofreading by DHX15 helicase.

Nature communications·2026
Same journal

Structural and mechanistic insights into primer synthesis initiation by DNA primase.

Nature communications·2026
Same journal

Changes in heritability and shared environmentality of educational attainment across twentieth-century Norway.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: May 17, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

323

Machine learning in point-of-care testing: innovations, challenges, and opportunities.

Gyeo-Re Han1, Artem Goncharov1, Merve Eryilmaz1,2

  • 1Electrical & Computer Engineering Department, University of California, Los Angeles, CA, USA.

Nature Communications
|April 2, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) are revolutionizing point-of-care testing (POCT) with enhanced sensor accuracy and efficiency. This technology integration promises to transform diagnostics, though regulatory and privacy challenges remain for widespread adoption.

More Related Videos

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
13:42

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

11.6K
Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing
06:55

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing

Published on: May 8, 2021

5.4K

Related Experiment Videos

Last Updated: May 17, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

323
Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
13:42

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

11.6K
Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing
06:55

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing

Published on: May 8, 2021

5.4K

Area of Science:

  • Biomedical Engineering
  • Medical Diagnostics
  • Artificial Intelligence in Healthcare

Background:

  • The COVID-19 pandemic accelerated the need for decentralized diagnostic testing.
  • Traditional laboratory testing is being complemented by rapid point-of-care testing (POCT) solutions.
  • Next-generation POCT platforms are emerging with advanced analytical capabilities.

Purpose of the Study:

  • To explore the integration of machine learning (ML) into point-of-care testing (POCT) sensor platforms.
  • To highlight the impact of ML on enhancing the accuracy and efficiency of POCT.
  • To provide an overview of current ML-driven POCT technologies and future potential.

Main Methods:

  • Review of ML integration in various POCT modalities: lateral flow assays, vertical flow assays, nucleic acid amplification tests, and imaging-based sensors.
  • Analysis of applications demonstrating the impact of ML-enhanced POCT.
  • Discussion of challenges hindering widespread adoption of ML-driven POCT.

Main Results:

  • ML enhances accuracy, sensitivity, and efficiency in diverse POCT platforms.
  • ML-powered POCT shows significant potential across various diagnostic applications.
  • Key challenges include regulatory approval, ensuring reliability, and addressing privacy concerns.

Conclusions:

  • ML integration is a transformative force in POCT, improving diagnostic capabilities.
  • Overcoming implementation challenges is crucial for realizing the full potential of ML-enhanced POCT.
  • ML-driven POCT is poised to significantly impact the future of healthcare delivery.