Fungal Infection

Engineered HSP90-MP65 Bivalent Fusion Antigen: A Novel Vaccine Candidate Against Invasive Candidiasis.

Invasive candidiasis represents a critical global health challenge, causing approximately 6.5 million bloodstream infections annually with mortality rates exceeding 60%. The emergence of multidrug-resistant Candida strains necessitates novel prophylactic strategies, with subunit vaccines offering a rational alternative to conventional antifungals. This study presents a structure-guided approach to...

Machine learning discriminates bacterial, fungal, and viral infections using temporal blood analyte dynamics in bottlenose dolphins (Tursiops truncatus).

OBJECTIVE: To determine underlying infectious disease as bacterial, fungal, or viral in origin from longitudinal assessment of biochemistry and hematology in bottlenose dolphins (Tursiops truncatus). METHODS: Blood samples, including up to 63 blood analytes, obtained from 1995 through 2025 from professional-care dolphins with 33 confirmed disease episodes (11 bacterial, 10 fungal, and 12 viral) we...

Machine learning model based on clinical and imaging features for predicting fungal infections in children with leukemia.

BACKGROUND: Due to immunosuppression, mucosal barrier injury, and prolonged neutropenia resulting from both the disease and chemotherapy, along with t...

Advancing fungal sinusitis diagnosis: a radiomics and machine learning approach.

BACKGROUND: Differentiating fungal from chronic sinusitis remains a diagnostic challenge due to overlapping symptoms. OBJECTIVES: This study aims to e...

Tree Killer, Qu'est-ce Que C'est? Insights From Forest Pathogen Genomes.

Forests are central to planetary health but are increasingly challenged by emerging diseases driven by climate change, global trade, and anthropogenic...

An interpretable radiomics-machine learning model for early risk stratification of invasive fungal infections in community-acquired pneumonia: a dual-center study.

To develop and validate an interpretable HRCT radiomics-based machine learning model for early risk stratification and identification of invasive fung...

Global density and biomass of arbuscular mycorrhizal fungal networks.

Arbuscular mycorrhizal fungi form symbioses with ~70% of plant species, building hyphal networks that exchange nutrients for host-derived carbon. Thes...

Operationalizing One Health Surveillance for Tropical Fungal Diseases: Practical Implications of Bioinformatics for Clinical and Epidemiological Practice.

Fungal infections are an increasing global public health concern yet remain underprioritized because of persistent challenges in diagnosis, treatment,...

Gut fungal signatures in colorectal cancer and their potential for supporting diagnosis: a multi-cohort metagenomic analysis.

BACKGROUND: Colorectal cancer (CRC) is influenced by host factors and environmental exposures that shape gut microbial ecosystems. Although bacterial ...

The combined use of in vivo confocal microscopy and optical coherence tomography in monitoring corneal infections.

BACKGROUND/AIMS: Infectious keratitis (IK) is a major cause of blindness worldwide, requiring prompt diagnosis and management. This study evaluates th...

Comparative metabolomics of resistant and susceptible pecan leaflets uncovers early defense responses to scab infection.

BACKGROUND: Pecan scab (Venturia effusa) is a devastating fungal disease affecting commercial pecan production. Developing resistant cultivars remains...

Microbial innovations for climate-resilient agriculture: mechanisms, applications, and emerging technologies.

Agriculture is increasingly challenged by climate change-driven stresses, including rising temperatures, erratic rainfall, soil degradation, with incr...

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

Intracellular acidification by microbiota-derived valeric acid facilitates trans-kingdom ecology limiting Candida parapsilosis colonization.

In hematopoietic cell transplant (HCT) patients, intestinal Candida parapsilosis expansion and translocation can cause life-threatening candidemia, ye...

MeDiCNet: Integrating Multi-scale Dynamic Convolution and Enhanced Position-Aware Transformer for DNA Methylation Site Prediction.

DNA methylation is a covalent modification of cytosine and adenine bases that regulates gene expression and underlies diverse biological processes and...

Learning continuous activation fields from microscopic SEM images of lycoperdioid fungi via CNN-guided neural operator modeling.

Accurate interpretation of microscopic morphological features is critical for resolving taxonomic boundaries in morphologically similar fungal taxa, y...

Pan-pathogen vaccine approaches: Toward broad-spectrum immunity in a One Health era.

Emerging and re-emerging infectious diseases (EIDs) represent an escalating threat to global public health, as exemplified by outbreaks of COVID-19, E...

Hybrid Modeling for Industrial Fermentation Processes with an 'Intra-Batch Experimental Design'.

Successful development of a predictive digital twin or digital shadow enabling improved batch planning and process optimization of industrial fungal f...

Early antifungal resistance prediction based on MALDI-TOF mass spectrometry and machine learning.

Antimicrobial resistance (AMR) is a significant global health threat. Recent studies have shown that combining MALDI-TOF mass spectrometry with machin...

Attention-enhanced GNN model for fungal disease classification in spinach leaves using monospectral imaging.

Plant leaf diseases must be detected and treated early to improve crop yield and reduce agricultural losses. However, pixel-level representations and ...