WormSpot: a machine learning-powered viability scoring platform in <i>C. elegans</i> for <i>Candida</i> pathogenicity studies

, supporting both basic pathogenicity studies and antifungal discovery in high-throughput settings. IMPORTANCE: infection models for virulence assessment and antifungal screening and provides a generalizable framework for host-pathogen phenotyping in microbiology research.

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Publication Details

Journal
Microbiology Spectrum
Published
2026-05-12
DOI
https://doi.org/10.1128/spectrum.00252-26
Primary Topic
Genetics, Aging, and Longevity in Model Organisms
Type
article
Field-Weighted Citation Impact
0.00

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article

WormSpot: a machine learning-powered viability scoring platform in C. elegans for Candida pathogenicity studies

Valentin Ong, Jonathan Guo Wei Lee, D Zhang
Microbiology Spectrum
Genetics, Aging, and Longevity in Model Organisms
article

WormSpot: a machine learning-powered viability scoring platform in C. elegans for Candida pathogenicity studies

Valentin Ong, Jonathan Guo Wei Lee, D Zhang
article en

Abstract

, supporting both basic pathogenicity studies and antifungal discovery in high-throughput settings. IMPORTANCE: infection models for virulence assessment and antifungal screening and provides a generalizable framework for host-pathogen phenotyping in microbiology research.

Microbiology Spectrum
Temasek Life Sciences Laboratory (SG), National University of Singapore (SG)
Temasek Life Sciences Laboratory
Openalex Percentile: Top 8%
Genetics, Aging, and Longevity in Model Organisms
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