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

Urine Studies I: Urinalysis01:29

Urine Studies I: Urinalysis

2.4K
Urinalysis is a widely used diagnostic test that analyzes urine's physical, chemical, and microscopic characteristics. Healthcare providers use it to detect and monitor various health conditions, including renal disease, urinary tract infections (UTIs), diabetes, and metabolic or systemic disorders.Components of UrinalysisUrinalysis consists of three primary components: physical, chemical, and microscopic examination. Each provides unique insights into the urine sample and, by extension, the...
2.4K

You might also read

Related Articles

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

Sort by
Same author

Building Intelligent ECG.

IEEE pulse·2026
Same authorSame journal

Benefits for Early Diagnosis, Treatment, and Research.

IEEE pulse·2026
Same author

Suite of Ingestible Devices Opens Window to the Gut Nervous System, Microbiome.

IEEE pulse·2026
Same author

Results in a Week to a Month.

IEEE pulse·2026
Same author

From Promise to Practice: Building the Open Infrastructure for Health Wearables.

IEEE pulse·2026
Same author

Beyond the Mask: Nerve Stimulation and Other Breakthroughs for Sleep Apnea.

IEEE pulse·2025

Related Experiment Video

Updated: Apr 16, 2026

Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging
04:33

Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging

Published on: December 8, 2023

1.6K

Urine-Based Spectroscopy/AI Platform for Early Detection of Multiple Cancers.

Leslie Mertz

    IEEE Pulse
    |April 14, 2026
    PubMed
    Summary

    A novel artificial intelligence test detects cancer by analyzing urine volatile organic compounds. This AI-powered diagnostic tool is FDA-designated for early bladder cancer detection and other cancer types.

    Area of Science:

    • Biochemistry
    • Artificial Intelligence
    • Oncology

    Background:

    • Volatile organic compounds (VOCs) in urine can serve as biomarkers for various diseases.
    • Early cancer detection significantly improves patient outcomes and treatment efficacy.
    • Current diagnostic methods for some cancers have limitations in sensitivity or specificity.

    Purpose of the Study:

    • To develop and evaluate an artificial intelligence (AI)-based test for identifying cancer-indicative VOC patterns in urine.
    • To assess the test's potential for early detection of bladder cancer and other malignancies.
    • To obtain regulatory designation for the AI test as a breakthrough device for early cancer diagnosis.

    Main Methods:

    • Utilizing advanced artificial intelligence algorithms to analyze complex patterns of VOCs.

    More Related Videos

    Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
    08:05

    Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

    Published on: June 10, 2025

    1.4K
    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

    1.5K

    Related Experiment Videos

    Last Updated: Apr 16, 2026

    Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging
    04:33

    Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging

    Published on: December 8, 2023

    1.6K
    Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
    08:05

    Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

    Published on: June 10, 2025

    1.4K
    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

    1.5K
  • Training the AI model on a diverse dataset of urine samples from cancer patients and healthy individuals.
  • Validating the AI test's performance in identifying specific VOC signatures associated with different cancer types.

    • Main Results:

    • The AI test successfully identified cancer-indicative VOC patterns in urine.
    • The test received U.S. Food and Drug Administration (FDA) breakthrough device designation for early bladder cancer detection.
    • The AI test demonstrated potential for the early detection of multiple cancer types, including colorectal, stomach, pancreatic, prostate, kidney, bladder, breast, ovarian, cervical, and lung cancers.

    Conclusions:

    • AI-driven analysis of urinary VOCs represents a promising non-invasive approach for early cancer detection.
    • The developed AI test has the potential to revolutionize cancer screening by enabling earlier diagnosis across a wide range of malignancies.
    • Further clinical validation is warranted to establish the test's widespread utility in routine cancer diagnostics.