Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Rapid antifungal phenotypic detection of Candida tropicalis based on laser-scattering technology combined with machine learning.

Frontiers in cellular and infection microbiology - 1 Jan 2026

Sun Jingfang, Liang Xinyi, Song Shuang, Zhao Shulong, Zhao Xiaojie, Deng Xinyi, Li Jiaxin, Jiang Fei, Kang Haiquan

Abstract excerpt

Background: Invasive fungal infections have become a significant cause of mortality among immunocompromised and critically patients. Candida tropicalis (C. tropicalis) has exhibited a marked increase inprevalence and a high rate of azole resistance as one of the major non C. albicans pathogens associated with bloodstream and deep infections. Therefore, the necessity for rapid and accurate susceptibility testing...

Read the complete abstract on PubMed

Topics

Candida tropicalis
Antifungal Agents
Microbial Sensitivity Tests
Machine Learning
Humans
Phenotype

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Lasers

Fluconazole

Voriconazole

Drug Resistance, Fungal

Predictive Learning Models

Candidiasis

Source

Open in PubMed Open full text

Identifiers

PMID: 42698488
DOI: 10.3389/fcimb.2026.1764421
PMCID: PMC13541485

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 24 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Rapid antifungal phenotypic detection of Candida tropicalis based on laser-scattering technology combined with machine learning.PMID 42698488Read ↗

Application of Raman spectroscopy and machine learning for Candida auris identification and characterizationSemantic proximity Read ↗

Raman Study of Pathogenic Candida auris: Imaging Metabolic Machineries in Reaction to Antifungal DrugsSemantic proximity Read ↗

Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method†Semantic proximity Read ↗

Inferring fungal growth rates from optical density dataSemantic proximity Read ↗

Rapid Single-Cell Phenotypic Antifungal Susceptibility Testing on a SlipChip Enabled by Deep Learning.Semantic proximity Read ↗

Clinical aPDT's effect on Candida albicans: Antifungal susceptibility, virulence gene expression, and correlation with leukocyte and neutrophil countsSemantic proximity Read ↗

Antifungal Activity of the Natural Coumarin Scopoletin Against Planktonic Cells and Biofilms From a Multidrug-Resistant Candida tropicalis StrainSemantic proximity Read ↗

Rapid Detection of Point Mutations by Fluorescence Resonance Energy Transfer and Probe Melting Curves in Candida SpeciesSemantic proximity Read ↗

Rapid Phenotypic Antimicrobial Susceptibility Testing with Multichannel Large-Volume Scattering Imaging and a Bayesian Gaussian Process Model.Semantic proximity Read ↗

Fung-AI: An AI/ML-driven pipeline for antifungal peptide discoverySemantic proximity Read ↗

The Evaluation of 660, 810, and 940nm Laser Wavelengths on Nystatin-Resistant Candida albicans: An In-Vitro StudySemantic proximity Read ↗

Laser nephelometry applied in an automated microplate system to study filamentous fungus growth.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.