Latest AI and machine learning research in fungal infection for healthcare professionals.
OBJECTIVE: The lung is commonly involved in advanced Kaposi sarcoma (KS) but diagnosis of pulmonary KS in low-resource settings is difficult. Clinical assessments were evaluated to improve screening for pulmonary KS in a low-resource setting. METHODS: A longitudinal cohort of Africans with HIV-associated KS in the Parirenyatwa Hospital KS clinic, Harare, Zimbabwe, was followed from 2016 to 2018. A...
Fungal infections cause over 1.5 million deaths annually, yet current antifungal susceptibility testing (AFST) methods require 24-48 h, delaying critical treatment decisions. Here, we present a rapid, label-free, single-cell AFST (sc-AFST) platform that integrates a SlipChip microfluidic device with deep learning-based image analysis to determine minimal inhibitory concentrations (MICs) within 4 h...
To develop and validate a routine indicator-based multimarker panel for fungal infection (FI) diagnosis and prognosis prediction. A retrospective coho...
This study aimed to develop and evaluate a deep learning algorithm for detecting and classifying intrasinus calcifications on paranasal sinus (PNS) co...
Saccharomycotina are a subphylum of ascomycete fungi with diverse asexual growth morphologies. Filamentous growth can comprise linear and branched bud...
Pyrethroid pesticide residues pose a significant global public health challenge, particularly in complex edible fungus matrices where trace, structura...
Microbial communities play a central role in viticulture, influencing wine characteristics (a concept termed microbial terroir). Yet, the individual f...
Candida auris, an increasingly prevalent fungal pathogen, requires both rapid identification and antifungal susceptibility testing to enable proper tr...
Wheat, being a major staple crop worldwide, is often attacked by rust diseases, which cause severe yield losses. The early detection and diagnosis of ...
BACKGROUND: Biofilms are present on almost all surfaces in households, healthcare and medical equipment, foods, industrial and water supply systems, a...
Endogenous antimicrobial peptides (AMPs) derived from host proteins represent a largely underexplored class of natural products tied to innate immunit...
Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens and insect pests, which cause substantial yield a...
BACKGROUND: Histopathologic features have been proposed as clues to potential dermatophyte infection. The inter-observer reproducibility and diagnosti...
Cover cropping has emerged as a pivotal strategy to enhance soil health and microbiome functionality across diverse agroecosystems. However, the exten...
Sustainable bioenergy is pivotal to the global transition from fossil fuels to a circular bioeconomy. However, conventional biomass conversion remains...
Paclitaxel, a clinically potent anticancer drug derived from Taxus species, faces persistent challenges in sustainable supply. Synthetic biology prese...
Computer vision applications for detecting diseases in agriculture have been gaining relevance in recent years through the use of deep learning archit...
RNA splicing removes non-coding introns from pre-mRNA to generate mature mRNA in eukaryotes, and accurate identification of splice sites is essential ...
Antimicrobial resistance (AMR), particularly in methicillin-resistant Staphylococcus aureus (MRSA), continues to threaten global health due to its mul...
Wheat rusts caused by biotrophic fungi of the genus Puccinia continuously threaten global wheat production and food security. The rapid evolution of v...