Infectious Disease

Novel Deep-Learning Unsupervised Domain Adaptation Method for Mitigating Batch, Strain, and Instrument Variations to Enhance Raman Spectroscopy-Based Bacterial Pathogen Identification.

The escalating threat of antibiotic resistance demands a rapid and accurate pathogen identification....

Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeasts.

Antifungal drug resistance is a major challenge in fungal infection management. Numerous genomic cha...

Value of Endobronchial Ultrasound-Derived Radiomics in Differentiating Pulmonary Sarcoidosis from Mediastinal Lymph Node Tuberculosis.

INTRODUCTION: To explore the feasibility of an ultrasound radiomics machine learning model based on ...

Single-Cell Nanomotion and Machine Learning for Parallel Bacterial Identification and Antibiotic Screening.

Rapid and accurate identification of bacterial infections and their resistance to antibiotics is cri...

The Integration of a Diplomacy Lab in a Registered Nurse to Bachelor of Science in Nursing Research and Informatics Course: A Qualitative Study.

BACKGROUND: Nursing education requires innovative models to prepare practice-ready nurses with globa...

A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis.

Cutaneous leishmaniasis (CL) is a neglected tropical and zoonotic disease affecting both human and a...

Response of the authors to the letter to the editor regarding "Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis".

A dual-branch graph neural network architecture for drug-target binding affinity prediction.

Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug di...

A new diagnostic prediction model for infective endocarditis based on the 2023 duke-international society for cardiovascular infectious disease criteria: a multicenter observational study.

Machine Learning in the ICU: Predicting Mortality in Patients with Carbapenem-Resistant Gram-Negative Bacilli Bloodstream Infections.

Background and ObjectiveMultidrug and carbapenem resistant gram-negative bacilli bloodstream infecti...

Structural and Kinetic Basis for the Rational Design of Next-Generation β-Lactamase Inhibitors.

The global spread of β-lactamase-mediated resistance poses a threat to β-lactam antibiotics. Boron-b...

Unveiling the ecology and spatial dynamics of Trypanosoma cruzi, its DTUs and Triatoma vitticeps in the Atlantic Forest of south-eastern Espírito Santo State, Brazil.

The transmission dynamics of Trypanosoma cruzi in natural environments exhibit considerable variatio...

Artificial Intelligence in Radiology: Unlocking New Dimensions of Value.

Artificial intelligence (AI) is emerging as a transformative force in radiology, offering the potent...

Advances in the laboratory diagnosis of non-viral microbial keratitis.

Infectious keratitis remains a leading cause of corneal blindness and visual impairment worldwide, w...

A pan-European assessment of multi-sector drivers of human hantavirus risk: climate, biodiversity, and socio-economic factors as key determinants.

The landscape of emerging zoonoses is being rapidly reshaped by concurrent climate change, environme...

Mining antibody functionality via AI-guided structural landscape profiling.

Despite substantial progress in single-cell screening techniques, antibody (Ab) repertoires still re...

A collaborative strategy of multi-technology integration for mycotoxin risk assessment and early warning in edible and medicinal plants.

BACKGROUND: Mycotoxins are toxic secondary metabolites of toxigenic fungi, posing a significant thre...

Clinic-first sepsis recognition in the ICU: a proteomics-guided, parsimonious model with independent validation.

BACKGROUND: Sepsis recognition in the ICU remains variable and relies on consensus clinical criteria...

Dietary exposure to antimicrobial residues in eggs: Traceability-driven risk heterogeneity and national monitoring optimization in China.

Egg production is growing rapidly to meet global protein demand, but in low- and middle-income count...

Bridging Generative AI and Diffusion Models With Molecular Simulation to Design Anti-Quorum-Sensing De novo Peptides Targeting LasR of Pseudomonas aeruginosa.

GeoPMB: An Interface-Aware Geometric Deep Learning Framework for Peptide-MHCI Binding Prediction with Evolutionary Insight.

The binding of peptides to class I major histocompatibility complex (MHCI) molecules is central to a...