Jove
Visualize
Contact Us

Related Concept Videos

Emerging Adulthood01:27

Emerging Adulthood

663
Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...
663
Intelligence01:27

Intelligence

8.6K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.6K
Current Trends in Nursing I01:28

Current Trends in Nursing I

5.4K
Current trends in nursing include:
5.4K
Current Trends in Nursing II01:30

Current Trends in Nursing II

3.5K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
3.5K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.2K
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...
6.2K
Measures of Intelligence01:29

Measures of Intelligence

8.4K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.4K

You might also read

Related Articles

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

Sort by
Same author

Emerging Trends in Artificial Intelligence-Integrated Biochip Technologies for Biomedical Applications.

Micromachines·2026
Same author

Portable and point-of-care molecular detection of pathogenic <i>Vibrio parahaemolyticus</i> in shrimp.

The Analyst·2026
Same author

A Wi-Fi-enabled, automated device for pathogen detection <i>via</i> LAMP and paper-based colorimetric assay.

Analytical methods : advancing methods and applications·2026
Same author

Single-Tube Instantaneous Generation of CTAB-Stabilized Gold Nanoparticles for the On-Site Molecular Identification of Foodborne and Multidrug-Resistant Pathogens.

Analytical chemistry·2025
Same author

PEI-Fe<sub>3</sub>O<sub>4</sub>/PTA-AuNPs Hybrid System for Rapid DNA Extraction and Colorimetric LAMP Detection of <i>E. faecium</i>.

Biosensors·2025
Same author

A LEGO®-inspired pipette-free approach for a fully-integrated molecular diagnostic kit isothermally operated at near body temperature for the detection of antibacterial resistance.

The Analyst·2025
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 29, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

882

Emerging Trends in Artificial Intelligence-Assisted Colorimetric Biosensors for Pathogen Diagnostics.

Muniyandi Maruthupandi1, Nae Yoon Lee2

  • 1Department of BioNano Convergence, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) combined with colorimetric biosensors offers a powerful solution for rapid pathogen detection. This approach overcomes limitations of traditional methods, enabling accessible point-of-care diagnostics.

Keywords:
artificial intelligencebacterial pathogenbiosensorcolorimetric biosensordeep learningdiagnosticsinfectious diseasesmachine learningpoint-of-care testingviral pathogen

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.8K

Related Experiment Videos

Last Updated: Jan 29, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

882
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.8K

Area of Science:

  • Biomedical Engineering
  • Infectious Disease Diagnostics
  • Artificial Intelligence in Healthcare

Background:

  • Infectious diseases pose a significant global health challenge, especially where diagnostic resources are scarce.
  • Conventional optical methods for pathogen detection are often slow, error-prone, and require complex equipment.
  • Colorimetric biosensors offer a low-cost, user-friendly alternative for point-of-care testing.

Purpose of the Study:

  • To review major pathogens, their impact, and current diagnostic limitations.
  • To highlight the research gap between traditional optical biosensors and AI-assisted colorimetric approaches.
  • To explore recent advancements in AI, particularly machine learning (ML) and deep learning (DL), for pathogen detection.

Main Methods:

  • Review of scientific literature focusing on AI models (ML, DL) applied to clinical samples over the last five years.
  • Analysis of pathogen characteristics, toxicity, and mortality rates.
  • Comparison of conventional optical biosensors with emerging AI-assisted colorimetric methods.

Main Results:

  • AI, including ML and DL, enhances diagnostic accuracy but requires pre-training and lacks autonomous adaptation.
  • AI-assisted colorimetric biosensors show promise for improved pathogen detection.
  • Existing AI models often lack robustness and explainability for clinical use.

Conclusions:

  • There is a need for robust, explainable, and smartphone-compatible AI-assisted assays for pathogen detection.
  • Future research should focus on developing user-friendly AI tools for rapid and accurate diagnostics.
  • AI-assisted colorimetric methods have the potential to revolutionize point-of-care infectious disease diagnostics.