Infectious Disease

Fungal Infection

Latest AI and machine learning research in fungal infection for healthcare professionals.

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Showing 967-987 of 5,167 articles
BudFinder: A Masked Auto-Encoder Vision Transformer Framework for Yeast Budding Detection

Yeast replicative lifespan is a crucial part of aging research, yet its quantification remains labor...

PARAS: high-accuracy machine learning of substrate specificities in nonribosomal peptide synthetases

Nonribosomal peptides are diverse natural products with important applications in medicine and agric...

Cross-Molecular Active Learning for the Discovery of Antimicrobial Polyacrylamides

Antimicrobial resistance poses an urgent and increasing threat to global health. The development of ...

Ultrahigh throughput screening to train generative protein models for engineering specificity into unspecific peroxygenases

Enzyme engineering is central to developing biocatalysts with improved activity and specificity, yet...

The Macroevolution of Filamentation Morphology Across the Saccharomycotina Yeast Subphylum

Saccharomycotina yeasts are a highly diverse and widely distributed subphylum of ascomycete fungi th...

Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging

Sex classification using neuroimaging data has the potential to revolutionize personalized diagnosti...

Skin lipid chemistry influences host-microbiome-pathogen interactions in snake fungal disease (ophidiomycosis)

Within host-microbiome-pathogen systems, the host chemical microenvironment is often overlooked desp...

Substrate-enhanced filamentation of 3-methylcrotonyl-CoA carboxylase in Legionella pneumophila

3-Methylcrotonyl-CoA carboxylase (MCC) is a biotin-dependent carboxylase that metabolizes the amino ...

Large generative mRNA language foundation model for efficient coding sequence generation and design with mRNA-GPT

mRNA design plays a central role in synthetic biology, nucleic acid therapeutics, and vaccine develo...

Integrating and refining the predictions of ensembled plant effector detection programs using machine learning

Effectors are pathogen proteins that facilitate infection by manipulating plant immunity. Computatio...

MARISMa: a routine MALDI-TOF MS dataset from 2018 to 2024 from Spain

Clinical microbiology laboratories play a crucial role in identifying pathogens, guiding antibiotic ...

From Research to Impact: Assessing a Decade of CDC’s Public Health Science by Topic Area, 2014-2023

This study provides an objective, in-depth overview of a large body of science output addressing pub...

Activation status of immune cells in the airway is a defining feature of severe fungal asthma

Airborne fungi are potent inducers of respiratory disease and cause the debilitating conditions seve...

Rad-Path Correlation of Deep Learning Models for Prostate Cancer Detection on MRI

While Deep Learning (DL) models trained on Magnetic Resonance Imaging (MRI) have shown promise for p...

Advances and limitations of artificial intelligence-assisted identification of pathogenic fungi

We developed and tested multiple computer-vision image classifiers, for their ability to identify a ...

Automatic detection of fungiform papillae on the human tongue via Convolutional Neural Networks and identification of the best performing model.

UNLABELLED: Fungiform papillae (FPs) are fundamental for taste perception, as they contain the taste...

Jan 2025 40487194
A Real-Time Plasma Concentration Prediction Model for Voriconazole in Elderly Patients via Machine Learning Combined with Population Pharmacokinetics.

PURPOSE: Voriconazole (VCZ) is a first-line treatment for invasive fungal disease, characterized by ...

Jan 2025 40401163
AI in fungal drug development: opportunities, challenges, and future outlook.

The application of artificial intelligence (AI) in fungal drug development offers innovative strateg...

Jan 2025 40470259
Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits.

One of the main challenges in food microbiology is to prevent the risk of outbreaks by avoiding the ...

Jan 2025 39235748
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