Infectious Disease

AI for Hospital Infection Prevention and Control: Real-World Implementation, Impact, and the Gap Beyond Model Development.

BACKGROUND: Artificial intelligence and machine learning (AI/ML) may strengthen hospital infection p...

Evaluation of AI-enhanced FTIR spectroscopy for species and biovar typing of intracellular pathogenic Brucella spp.

BACKGROUND: Rapid and accurate identification of intracellular pathogenic Brucella species and biova...

Explainable prediction of MDR/RR-TB in tuberculosis-diabetes mellitus multimorbidity: a machine learning model developed and validated in a dual-center study.

BACKGROUND: Tuberculosis-diabetes mellitus (TB-DM) multimorbidity significantly increases the risk o...

Using Generative Artificial Intelligence to Identify Central Line-associated Bloodstream Infections.

BACKGROUND: Central line-associated blood stream infection (CLABSI) surveillance is mandated and pub...

Lipid abnormalities in chronic viral hepatitis: associations and machine learning-enhanced prediction.

Exploring the mechanisms and management of sepsis-related cardiac dysfunction.

Sepsis-related cardiac dysfunction (SRCD) represents a critical determinant of both acute mortality ...

Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches?

Although current antiretroviral therapy effectively suppresses viral replication in infected individ...

Teachers' Knowledge, Attitudes, and Behaviors Regarding Hearing Loss and Inclusive Education.

OBJECTIVE: This study assessed the knowledge levels of classroom teachers concerning students with h...

Evaluating Biomedical Feature Fusion on Machine Learning's Predictability and Interpretability of COVID-19 Severity Types: Model Development, Interpretation, and Validation.

BACKGROUND: Accurately differentiating severe from nonsevere COVID-19 clinical types is critical for...

Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.

BACKGROUND: Predicting enterocutaneous fistula (ECF)-associated sepsis and mortality poses significa...

HyperHealth: a pilot study on AI-driven COVID-19 detection using hyperspectral fingertip images.

Despite the reduced impact of COVID-19 due to widespread vaccination and improved treatments, a crit...

The Role of Artificial Intelligence Algorithms in Challenging Diagnostic Cases - Between Potential and Real Clinical Support.

INTRODUCTION: Extranodal natural killer/T-cell lymphoma, nasal type (ENKTL), is a rare EBV-associate...

Exploratory association between multimodal AI-derived digital biomarkers and in-hospital mortality in adult patients with pneumonia: A proof-of-concept study.

Pneumonia remains a leading cause of in-hospital mortality worldwide. Current prognostic tools such ...

Early prediction of declining health associated with helminth infection in small ruminants using accelerometers and machine learning.

Assessment of the health status of individual animals is a key step in the timely and targeted treat...

Unlocking biodiversity data with robotic imaging and AI-driven transcription of natural history collections.

Digitizing metadata on natural history specimen labels remains a critical bottleneck for biodiversit...

Repurposing Clinical Candidates for Nipah and Hendra Viruses.

Nipah virus (NiV) and Hendra virus (HeV) are bat-borne zoonotic paramyxoviruses that cause severe an...

Quantitative three-dimensional imaging of Coxiella burnetii infection by focused ion beam-scanning electron microscopy.

Coxiella burnetii is a highly virulent intracellular pathogen and the causative agent of acute and c...

High-fidelity machine learning models for predicting antibacterial effects of cerium oxide nanoparticles across bacterial strains.

The primary objective of this study is to develop and validate robust data-driven models for accurat...

Robust Radical-Mediated Electrical Enzyme Assay (REEA) Cartridge FET Sensor toward Practical Applications.

Field-effect transistor (FET)-based biosensors are promising tools for early infectious-disease dete...

Evolution and forecasting of antiretroviral therapy utilisation in British Columbia: a population-level analysis of provincial drug treatment programme data, 2014-2024.

OBJECTIVE: To characterise temporal trends in antiretroviral therapy (ART) utilisation and forecast ...

Explainable machine learning differentiates necrotizing fasciitis and osteomyelitis via routine blood biomarkers.

Necrotizing fasciitis (NF) and osteomyelitis (OM) are severe, limb-threatening infections with overl...