AIMC Topic: Candida

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A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs.

Pathogens (Basel, Switzerland) May 21, 2025
Pathogenic yeasts are an increasing concern in healthcare, with species like often displaying drug resistance and causing high mortality in immunocompromised patients. The need for rapid and accessible diagnostic methods for accurate yeast identific...
Candida Microscopy Yeasts Photography Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted
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Bioactive structures for inhibitors of polymerase enzyme by artificial intelligence.

Future medicinal chemistry Apr 17, 2025
AIMS: Present new bioactive compounds, created by De novo Drug Design and artificial intelligence (AI), as possible inhibitors of polymerase.
Antifungal Agents Molecular Structure Molecular Dynamics Simulation Enzyme Inhibitors Molecular Docking Simulation Drug Design Candida Humans Artificial Intelligence
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Identification of potential markers of elevated anticandidal activity of propolis extracts.

Journal of ethnopharmacology Apr 11, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: For centuries, propolis has been one of the most important and popular antimicrobial (antibacterial and antifungal) agents used in traditional medicine worldwide, including Central and Eastern Europe. Despite centuries...
Antifungal Agents Chromatography, High Pressure Liquid Candida albicans Flavonoids Candida Propolis Poland Microbial Sensitivity Tests Plant Extracts Biomarkers
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Prevalence of fungal colonization among patients with psoriasis in difficult-to-treat areas: impact of apremilast on mycotic burden and clinical outcomes.

Frontiers in immunology Dec 10, 2024
INTRODUCTION: Fungi, including , may be a trigger or exacerbate psoriasis, especially in difficult to treat (DTT) areas, through the activation of IL-17/23 axis.
Prevalence Aged Treatment Outcome Adult Psoriasis Male Humans Candida Middle Aged Cytokines Thalidomide Female Candidiasis Anti-Inflammatory Agents, Non-Steroidal
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AI-assisted diagnosis of vulvovaginal candidiasis using cascaded neural networks.

Microbiology spectrum Nov 22, 2024
UNLABELLED: Vulvovaginal candidiasis (VVC) is a prevalent fungal ailment affecting women globally. Timely and accurate diagnosis is crucial. Traditional methods, relying on clinical evaluation and manual microscopic examination, have limitations. Art...
Female Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Candida Humans Neural Networks, Computer Artificial Intelligence Microscopy Candidiasis, Vulvovaginal
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Application of Raman spectroscopy and machine learning for identification and characterization.

Applied and environmental microbiology Oct 29, 2024
UNLABELLED: an emerging fungal pathogen characterized by multidrug resistance and high-mortality nosocomial infections, poses a serious global health threat. However, the precise and rapid identification and characterization of remain a challenge. ...
Candidiasis Antifungal Agents Machine Learning Fluconazole Microbial Sensitivity Tests Humans Drug Resistance, Fungal Spectrum Analysis, Raman Amphotericin B Candida Candida auris
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Towards the automatic calculation of the EQUAL Candida Score: Extraction of CVC-related information from EMRs of critically ill patients with candidemia in Intensive Care Units.

Journal of biomedical informatics Jun 5, 2024
OBJECTIVES: Candidemia is the most frequent invasive fungal disease and the fourth most frequent bloodstream infection in hospitalized patients. Its optimal management is crucial for improving patients' survival. The quality of candidemia management ...
Candida Natural Language Processing Central Venous Catheters Italy Aged Male Middle Aged Candidemia Humans Machine Learning Algorithms Critical Illness Intensive Care Units Electronic Health Records Female
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Prediction of candidemia with machine learning techniques: state of the art.

Future microbiology May 20, 2024
In this narrative review, we discuss studies assessing the use of machine learning (ML) models for the early diagnosis of candidemia, focusing on employed models and the related implications. There are currently few studies evaluating ML techniques f...
Machine Learning Candida Early Diagnosis Candidemia Humans
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Piperidine based 1,2,3-triazolylacetamide derivatives induce cell cycle arrest and apoptotic cell death in .

Journal of advanced research Nov 10, 2020
The fungal pathogen , is a serious threat to public health and is associated with bloodstream infections causing high mortality particularly in patients with serious medical problems. As this pathogen is generally resistant to all the available clas...
Apoptosis Cell Survival Candida Candidiasis Humans Public Health Microbial Sensitivity Tests Drug Resistance, Fungal Piperidines Triazoles Antifungal Agents DNA Damage Acetamides Cell Cycle Checkpoints
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Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.

Nature communications Oct 30, 2019
Raman optical spectroscopy promises label-free bacterial detection, identification, and antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds and accuracies remains challenging due to weak Raman signal from...
Humans Bacterial Typing Techniques Neural Networks, Computer Proteus mirabilis Anti-Bacterial Agents Deep Learning Microbial Sensitivity Tests Single-Cell Analysis Candida Bacterial Infections Principal Component Analysis Support Vector Machine Pseudomonas aeruginosa Bacteria Escherichia coli Salmonella enterica Logistic Models Staphylococcus aureus Klebsiella Spectrum Analysis, Raman Methicillin-Resistant Staphylococcus aureus Enterococcus Streptococcus
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