Infectious Disease

Machine learning-driven nanoparticle-enhanced paper chromogenic array sensor approach for detecting sub-lethally injured Salmonella in low moisture food.

Detection of sub-lethally injured pathogens is critical for improving food safety, particularly give...

Interpretable machine learning models for QSAR-based prediction of anti-Salmonella typhi activity.

AIMS: This study aimed to develop a robust machine learning (ML)-based quantitative structure-activi...

Machine Learning forecasting of dengue in São Paulo using virtual data augmentation and urban incident predictors: Addressing the exceptional surge of cases in 2024.

Dengue remains one of the most critical vector-borne diseases globally, with Brazil consistently rep...

Microbiome-Based Modeling of CAR-T Therapy Response in Lymphoma: Insights From Shotgun Metagenomics Sequencing.

The interplay between the commensal microbiota and the mammalian immune system may influence the out...

Review on Nanotoxicology and Nano-Bio Interactions: influencing factors, assessment methods, mechanisms, and applications.

Nanotechnology serves as a nanoscale interface that directly bridges our perception of the macroscop...

Advanced Technologies for the Diagnosis of Pulmonary Tuberculosis Using Exhaled Breath Samples: A Systematic Scoping Review.

OBJECTIVES: Non-invasive methods based on exhaled breath samples have emerged as promising alternati...

A machine learning model for predicting complete virological response in chronic hepatitis B patients receiving first-line nucleos(t)ide analogues therapy.

BACKGROUND: Complete virological response (CVR) is the primary goal of nucleos(t)ide analogues (NAs)...

Insights into red sea bream iridovirus pathogenesis: Unveiling host-pathogen interactions using membrane yeast two-hybrid and molecular dynamics.

Red sea bream iridovirus (RSIV), a member of the genus Megalocytivirus, poses a substantial threat t...

ViralBindPredict: Empowering Viral Protein-Ligand Binding Sites through Deep Learning and Protein Sequence-Derived Insights.

BACKGROUND: The development of a single therapeutic compound can exceed 1.8 billion USD and take mor...

The escalating threat of multidrug-resistant organisms: COVID-19 impact, global burden, and the Taiwanese experience.

INTRODUCTION: The COVID-19 pandemic has intensified global health challenges, including a silent but...

Bioinspired Multifunctional Hydrogels for Deep Learning-Enabled Wound pH Visual Monitoring and Treatment.

Smart wound dressings capable of real-time environmental monitoring and therapeutic intervention are...

Modulating subjective and objective cognitive state fatigue in long COVID with repetitive anodal tDCS: results from a double-blinded randomized controlled trial.

BACKGROUND: Cognitive fatigue is a frequently reported and debilitating symptom of long COVID, yet e...

Prognostic value of deep learning-based coronary artery calcium score and quantitative pneumonia burden in patients hospitalized with COVID-19.

Infection-targeted innovations in anastomotic leak management: endoscopic advances, antimicrobial biomaterials, and precision strategies.

Anastomotic leakage (AL) is a devastating complication of gastrointestinal surgery and a critical so...

Confidence-based prediction of antibiotic resistance at the patient level.

Rapid and accurate diagnostics of bacterial infections are necessary for efficient treatment of anti...

Optical photothermal infrared (OPTIR) spectroscopy assisted by machine learning for lactic acid bacteria identification at strain level.

Lactic acid bacteria (LAB) are widely used in food, health, and biotechnology sectors, where accurat...

Interpretable Machine Learning Integrates Flavor Classification with Source Attribution for Low-Salt Soy Sauce Optimization.

Low-salt soy sauce (LSS) supports healthier diets but suffers flavor defects compared with high-salt...

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 ...

Smartphone-based multispectral autofluorescence analysis of bacteria mixtures of staphylococci using convolutional neural network.

Deep tobit model: an integrated framework for high-dimensional censored regression with variable selection.

High-dimensional data with left-censored responses are increasingly common in modern applications, y...

Effect of sea surface temperature in El Niño regions on dengue dynamics in Colombia: Evidence from causal machine learning.

Dengue fever is among the most rapidly expanding vector-borne diseases globally, with Colombia ranki...