Fungal Infection

Predicting the antifungal effects of ethanolic propolis and geopropolis extracts on Aspergillus flavus growth using mechanistic and machine-learning models.

This study evaluated the antifungal potential of ethanolic propolis (EEP) and geopropolis (EEG) extr...

Predicting antifolate resistance in the unculturable fungal pathogen Pneumocystis jirovecii.

Pneumocystis jirovecii is an opportunistic fungal pathogen responsible for Pneumocystis pneumonia (P...

Genome-wide analysis of the invasive fungal pathogen Neopestalotiopsis reveals high genomic diversity, effector repertoires, and the assessment of fungicide resistance risks.

Neopestalotiopsis species (spp.) have recently emerged as major pathogens worldwide, causing leaf sp...

Artificial intelligence in drug discovery for fungal diseases: a scoping review.

BACKGROUND: Fungal diseases represent a global health threat, with high mortality rates and growing ...

Advancing One Health: Innovations and Future Directions in Mycotoxin Detection, Management, and Prevention-Narrative Review.

Mycotoxins, toxic secondary metabolites generated by fungi such as Aspergillus, Fusarium, and Penici...

Integrating deep learning and field validation into a decision support system for Northern Corn Leaf Blight management in maize.

Northern Corn Leaf Blight (NCLB; also, Turcicum Leaf Blight, TLB), caused by Exserohilum turcicum (t...

Exploration of soil microbial community: a comparative study between organic and conventional systems in perennial and annual crops.

​Soil microbiota is central to agroecosystem sustainability, influencing fertility, plant health, an...

An automated workflow for fungal cell counting, cell size and data analysis: enhancing throughput and accuracy with the cell analysis and counting tool using ilastik software (caactus).

BACKGROUND: The development of filamentous fungal cells from spore to mature mycelium is influenced ...

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

UNLABELLED: Invasive Candida infections pose a critical health challenge, exacerbated by emerging an...

Breaking the culture habit: Complementing culture-based veterinary diagnostics with metagenomic data -A case study of feline and canine skin infections.

BACKGROUND: Skin infections have been described as the primary cause for veterinary small animal pra...

Artificial intelligence-assisted diagnosis and subtype differentiation of infectious keratitis.

BACKGROUND: Infectious keratitis (IK) is a major cause of corneal blindness world-wide, and prompt i...

Multimodal artificial intelligence and the persistent challenge of early mycosis fungoides diagnosis.

Portable Electrochemiluminescence Microarray Sensor for Machine Learning-Assisted Quantitative Analysis of Zearalenone.

Zearalenone (ZEN) is an estrogenic mycotoxin produced by Fusarium fungi and is widely present in cer...

Determination of Fungiform Papilla Number Using Deep Learning Methods.

This study aimed to develop a deep learning-based method for the automatic detection and counting of...

Fungal infections: Classification performance and detectability with machine learning models.

This study explores the use of AI-driven machine learning algorithms for the early detection of fung...

Microbial succession from nursery to vineyard highlights the role of beneficial and pathogenic microbes in young vineyard yield.

BACKGROUND: The grapevine microbiome plays a central role in shaping vineyard performance, yet the i...

Deep Learning-Assisted Room-Temperature Phosphorescence Sensor Array Based on Host-Guest Doping for Visual Discrimination of Triazole Fungicides.

Detection and discrimination of structurally similar triazole fungicide (TF) subtypes remain highly ...

Imaging Biomarkers for Early Differentiation of Candida and Aspergillus Endogenous Fungal Endophthalmitis: Multicenter Optical Coherence Tomography-Based Analysis.

PURPOSE: Endogenous fungal endophthalmitis (EFE) is a rare, sight-threatening intraocular infection ...

The Role of Artificial Intelligence Algorithms in Challenging Diagnostic Cases - Between Potential and Real Clinical Support.

INTRODUCTION: Extranodal natural killer/T-cell lymphoma, nasal type (ENKTL), is a rare EBV-associate...

Distinct bile mycobiome signature identifies fungal peptide panel predictive for gallbladder carcinoma.

Carcinoma of the gallbladder (CAGB) carries a poor prognosis. While alterations in the bile microbio...

AI-driven Predictive Models in Endourological Treatment of Urolithiasis: A Systematic Review of Nomogram Applications from EAU Endourology.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical ...