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

2025-11-25

Abstract excerpt

Invasive Candida infections pose a critical health challenge, exacerbated by emerging antifungal resistance. Caenorhabditis elegans ( C. elegans ) offers a genetically tractable and scalable model for studying Candida pathogenicity, yet conventional viability assays remain labor-intensive, limiting high-throughput applications. In this study, we developed a machine learning-driven worm viability scoring platfo...

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Literature Corpus work
ffe23b73-db26-5436-8878-36131116be83
DOI
10.1101/2025.11.22.689965
Open publication

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WormSpot: a machine learning-powered viability scoring platform in <i>C. elegans</i> for <i>Candida</i> pathogenicity studiesDOI 10.1101/2025.11.22.689965
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