Fungal Infection

Dual-kingdom necrobiome succession extends postmortem interval estimation into skeletonization.

Forensic estimation of the postmortem interval (PMI) becomes increasingly challenging when decomposition progresses beyond the initial weeks, as traditional medicolegal indicators lose their temporal precision. Here, we demonstrate that dual-kingdom microbial communities associated with decomposing remains form robust molecular clocks that maintain predictive power for PMI estimation well into ske...

Enhancing nail disease diagnosis: a capsule network with SE attention and dual backbone models.

Nail diseases, including fungal infections and malignancies, pose significant health risks and may lead to severe complications if not accurately diagnosed. Conventional diagnostic methods are often subjective and time-consuming. This study introduces CapsuleSEDualNet, a novel deep learning framework designed to achieve robust and interpretable multi-class nail disease diagnosis. The proposed Caps...

A hyperspectral co-design framework guided by occlusion sensitivity for early mould detection in bamboo.

Schizostachyum funghomii McClure is a bamboo species vital to traditional craftsmanship. However, it is highly susceptible to mould, which degrades ma...

Viability and prediction of encapsulated Trichoderma spp. isolates using machine learning: a multi-layer perceptron-based approach.

The development of microbial bioproducts requires understanding the stability and viability of cells during storage. Accordingly, this study evaluated...

Agri-vision Bangladesh: A multi-crop augmented image dataset for automated disease diagnosis in Bottle Gourd, Zucchini, Papaya, and Tomato.

This article introduces Agri-Vision Bangladesh, a comprehensive, augmented image dataset designed to advance automated disease diagnosis in four econo...

Mushroom-derived Immunomodulators: Mechanistic insights, omics integration, AI innovation, and clinical applications in precision immunotherapy.

Mushrooms are rich in structurally diverse bioactive compounds that exert potent immunomodulatory effects, making them promising candidates for next-g...

An annotated dataset of Gram stains from positive blood cultures.

Bloodstream infections (BSIs) of high morbidity and mortality are across all age groups, and urgent for accurate intervention. Gram stain interpretati...

Improved screening for pulmonary Kaposi sarcoma in a low-resource setting.

OBJECTIVE: The lung is commonly involved in advanced Kaposi sarcoma (KS) but diagnosis of pulmonary KS in low-resource settings is difficult. Clinical...

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

Fungal infections cause over 1.5 million deaths annually, yet current antifungal susceptibility testing (AFST) methods require 24-48 h, delaying criti...

A multimarker panel for diagnosis and prognosis prediction of fungal infections.

To develop and validate a routine indicator-based multimarker panel for fungal infection (FI) diagnosis and prognosis prediction. A retrospective coho...

Deep learning detection and classification of fungal and non-fungal calcifications on paranasal sinus CT imaging.

This study aimed to develop and evaluate a deep learning algorithm for detecting and classifying intrasinus calcifications on paranasal sinus (PNS) co...

The Macroevolution of Filamentation Morphology Across the Saccharomycotina Yeast Subphylum.

Saccharomycotina are a subphylum of ascomycete fungi with diverse asexual growth morphologies. Filamentous growth can comprise linear and branched bud...

Machine learning-assisted SERS detection of pyrethroid pesticides in edible fungi using a magnetic nanosensor.

Pyrethroid pesticide residues pose a significant global public health challenge, particularly in complex edible fungus matrices where trace, structura...

Grape expectations: disentangling environmental drivers of microbiome establishment in winegrowing ecosystems.

Microbial communities play a central role in viticulture, influencing wine characteristics (a concept termed microbial terroir). Yet, the individual f...

Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations.

Candida auris, an increasingly prevalent fungal pathogen, requires both rapid identification and antifungal susceptibility testing to enable proper tr...

Web-Based Sustainable Detection and Treatment Recommendation System for Wheat Plant Diseases Using Convolutional Neural Networks.

Wheat, being a major staple crop worldwide, is often attacked by rust diseases, which cause severe yield losses. The early detection and diagnosis of ...

Non-contact identification of opportunistic pathogens in mixed biofilm contaminations by hyperspectral imaging.

BACKGROUND: Biofilms are present on almost all surfaces in households, healthcare and medical equipment, foods, industrial and water supply systems, a...

α-Helical Peptides Encoded in Collagen Exhibit Antimicrobial Activity with Low Cytotoxicity.

Endogenous antimicrobial peptides (AMPs) derived from host proteins represent a largely underexplored class of natural products tied to innate immunit...

WRKY Transcription Factors: Integral Regulators of Defence Responses to Biotic Stress in Crops.

Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens and insect pests, which cause substantial yield a...

Diagnostic Accuracy of Histopathologic Features Suggestive of Dermatophytosis: A Retrospective Cohort Selection Study With Machine Learning Evaluation.

BACKGROUND: Histopathologic features have been proposed as clues to potential dermatophyte infection. The inter-observer reproducibility and diagnosti...