Infectious Disease

Street-level ambient fine particulate matter and tuberculosis: A machine learning and Bayesian spatiotemporal analysis.

Tuberculosis (TB) remains a leading cause of death from infectious diseases globally, yet evidence l...

Artificial Intelligence in Tuberculosis Imaging: A Global Bibliometric Analysis of Research Trends and Collaborations.

INTRODUCTION: Tuberculosis (TB), a leading infectious cause of death, remains a global health challe...

Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries.

INTRODUCTION: High costs of screening and diagnostic tests remain a major barrier to timely tubercul...

Drone-based geospatial prediction modeling identifies Fasciola hepatica infection risk in the Cusco Highlands of Peru.

BACKGROUND: Fascioliasis is a neglected infectious disease affecting agricultural communities worldw...

Machine Learning Tools for Predicting Pediatric Urinary Tract Infections Caused by ESBL-producing Bacteria.

BACKGROUND: The prevalence of pediatric urinary tract infections (UTIs) caused by extended-spectrum ...

Prediction of death in burn patients infected with antibiotic-resistant Staphylococcus aureus using machine learning based techniques.

Inference of SARS-CoV-2 exposure biomarkers using large-scale T-cell repertoire profiling.

BACKGROUND: The COVID-19 pandemic offers a powerful opportunity to develop methods for monitoring th...

NTDscope: A multi-contrast portable microscope for disease diagnosis.

Accurate diagnostics are essential for disease control and elimination efforts. However, access to d...

The dynamics of hepatitis B virus transmission using a stochastic differential model and feed forward neural network approach.

Hepatitis B transmission is influenced by environmental variability, immune response and vaccination...

Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-ass...

Screening for novel chemical scaffolds targeting PCNA identifies the Hsp90alpha inhibitor SNX-2112.

Proliferating cell nuclear antigen (PCNA) protein is an emerging therapeutic target for several dise...

A geometric deep learning framework for genome-wide prediction of enzyme turnover number.

BACKGROUND: Enzyme turnover numbers (Kcat) are fundamental kinetic constants that quantify enzymatic...

epiGPTope: A Machine Learning-Based Epitope Generator and Classifier.

Epitopes are short antigenic peptide sequences that are recognized by antibodies or immune cell rece...

Comparison and validation of multiple machine learning algorithms for predicting MDRO infection in catheter-related bloodstream patients: a multicenter cohort study.

UNLABELLED: Early identification of patients at high risk for multidrug-resistant organism (MDRO) in...

Machine learning assisted malaria detection using photonic crystal fibre optical sensors.

Strategies for Safer Cefepime Use to Prevent Neurotoxicity Using the Electronic Health Record.

Cefepime, a cornerstone antibiotic in critical care, is associated with underrecognized cefepime-ind...

Infectious disease diagnosis by artificial intelligence (AI): Differences in patient backgrounds and symptoms between antigen test positives and novel AI-powered pharyngeal endoscopy test positives.

This study aimed to identify differences in patient background and symptoms between individuals who ...

Molecular docking approaches in mycetoma: Toward improved patient management.

Mycetoma is a neglected tropical disease characterised by chronic, granulomatous inflammation of the...

Metabolomics-guided machine learning reveals diagnostic and mechanistic biomarkers in CHB with MASLD.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) often coexists with chr...

Multi-model large-scale AI framework for avian influenza surveillance and preparedness: Harnessing large language models to enhance risk communication, real-time decision support, and public health response strategies.

Avian influenza remains a persistent threat to global health security, with serious consequences for...

Artificial intelligence and diagnosis and management of tuberculosis disease in children.

PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdT...