Fungal Infection

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 microbiome and lipidome have been linked to CAGB development, the contribution of the fungal microbiome remains unexplored. We investigated fungal microbiome alterations and identified key fungal peptides capable of segregating CAGB patients. Bile samples from gallstone (GS) patients (n = 10), CAGB patients...

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 planning, risk stratification, and outcome prediction. This systematic review evaluates AI-labelled prediction models predicting treatment-related outcomes in patients with urinary stone disease undergoing endourological procedures. METHODS: A systematic search of PubMed, EMBASE, Scopus, and Web of ...

Integrating microbial bioremediation, multi-omics, and emerging technologies for polycyclic aromatic hydrocarbon (PAHs) detoxification.

Environmental organic pollutants, identified as Polycyclic Aromatic Hydrocarbons (PAHs), are widespread and toxic. These hydrocarbons are commonly pro...

Analytical validation of a highly accurate and reliable next-generation sequencing-based urine assay.

Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, despite its limitations in sensitivity. False-negative...

Advances in fungal ergothioneine: from biosynthesis to AI-driven industrial biomanufacturing.

Ergothioneine (EGT), a potent natural antioxidant from edible fungi, is highly valued for its antioxidant, anti-inflammatory, and cytoprotective effec...

Multi-Crop Sclerotinia sclerotiorum Apothecia Prediction Models for Irrigated Environments are Improved by On-Site Weather Monitoring and Supervised Machine Learning.

Sclerotinia sclerotiorum causes Sclerotinia stem rot, or white mold, on multiple economically important crops in Michigan. Soybean farmers and crop co...

Deep learning-based identification of visually similar foliar diseases in field-grown barley.

BACKGROUND: Accurate segmentation of foliar diseases under field conditions is essential for large-scale phenotyping, as breeding programs rely on rel...

Small RNAs as systemic signals in plant defense: mechanisms, challenges, and future directions.

Small RNAs (sRNAs) have emerged as central regulators of gene expression, coordinating development, stress responses, and immunity across plant tissue...

Bridging Artificial Intelligence, Machine Learning with Green Nanotechnology: A Visionary Framework for Smart Fungal Disease Management in Plants.

Fungal diseases in plants pose significant threats to global food security and sustainable agriculture, yet current management methods remain limited ...

Computational identification and multi-level validation of marine fungal metabolites as potent inhibitors of Acinetobacter baumannii GuaB.

Lightweight attention enhanced YOLOv11 for accurate multi class detection of brinjal diseases.

The cultivation of brinjal is seriously affected by various pathogens which affect crop yield and quality hence the importance of automated disease de...

AI-driven fungicide design: From target identification to field application.

Plant pathogenic fungi severely threaten global agriculture, causing substantial yield losses in staple crops and endangering food safety through myco...

Valorization of turkey cruor through peptic hydrolysis: peptidomic and machine learning approaches for the identification of antimicrobial peptides.

The slaughterhouse blood remains an underexploited by-product with promising potential for producing natural antimicrobial agents. This study investig...

Publicly available multimodal large language models for ocular surface infections: benchmarking against corneal specialists in triage, diagnosis and treatment.

BACKGROUND/AIMS: Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow or insensitive microbiolo...

AI-Assisted Fungal Detection in Dermatopathology: A Study on Accuracy, Efficiency, and Usability.

BACKGROUND AND OBJECTIVES: AI-based image analysis is increasingly applied in pathology. Excluding fungal elements in PAS-stained skin sections is lab...

Determination of Trichomonas vaginalis, certain bacterial and fungal positivity, and risk factors in female patients with urinary and genital complaints.

Machine learning-based assessment of the healthy human gut mycobiota landscape using ITS1 DNA metabarcoding data.

The human gut microbiome plays a critical role in maintaining host health and homeostasis, and current literature suggests a bidirectional relationshi...

Machine learning triumphs in differentiating fungal and bacterial infections.

A lightweight neural model for gas concentration prediction in TDLAS under varying environmental conditions.

Tunable diode laser absorption spectroscopy (TDLAS), with its strong selectivity, high sensitivity, and fast response speed, has become a widely used ...

Structural and dynamic characterization of MirA-like xenosiderophore transporters in Fusarium: in silico modeling and in vitro validation.

Fusarium, an omnipresent fungus is known for its pathogenic potential. Pathogenic fungi like all other organisms need iron and are known to produce si...