Infectious Disease

Predicting zero-dose vaccination status in 27 sub-Saharan African countries: a machine learning approach.

OBJECTIVE: To develop a machine learning (ML)-based predictive model for assessing the risk of zero-...

Clinical efficacy of AI-navigated transperineal MRI-TRUS fusion biopsy for prostate cancer diagnosis: A retrospective cohort study.

This study evaluates the clinical efficacy of transperineal 3D image registration combined with AI-e...

Artificial neuro-fuzzy intelligence for dynamic tracking and prediction of HIV prevalence and new infections among individuals aged 15 to 49 years in Uganda: Computational national-level models.

Human immunodeficiency virus (HIV) infection remains a major global health burden, and Uganda contin...

Development and validation of a blood-based diagnostic model for pulmonary tuberculosis combining GBP5 expression and routine laboratory indicators.

WHO reports that only 54% of tuberculosis (TB) patients received rapid diagnostic tests at their ini...

Artificial intelligence and machine learning in transplantation surgery care pathway.

Artificial intelligence (AI) and machine learning (ML) are increasingly applied across the transplan...

Can't see the forest for the trees? Statistical considerations for disease macroecology.

Disease macroecology relies on large, complex datasets to understand the biotic and abiotic factors ...

Response to comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper".

Mapping immune targets in peste des petits ruminants virus hemagglutinin: An integrated computational framework for vaccine candidate prioritization.

BACKGROUND: Peste des petits ruminants virus (PPRV) is a major transboundary viral pathogen of small...

An Fc receptor and IgA functional signature identifies TB disease in children living with HIV.

BACKGROUND: Tuberculosis (TB) is a leading cause of morbidity and mortality among children living wi...

Bridging machine learning and evolutionary optimization of threshold specific dosages of Nisin to suppress MRSA biofilm.

Methicillin resistant Staphylococcus aureus (MRSA), a Gram-positive potent biofilm forming pathogen ...

AI-Based Sepsis Prediction in Hospitalized Adults: Systematic Review, Subgroup Meta-Analysis, and Contextual Analysis of Clinical Burden.

BACKGROUND: Machine learning (ML) and deep learning (DL) models have been developed for earlier reco...

Clinical Performance of the Automated Gram Stain AI System Mycrium for Positive Blood Culture.

BACKGROUND: Gram staining of positive blood culture bottles provides rapid information for antimicro...

Evaluating AI-assisted surveillance of healthcare-associated infections using a standard European point prevalence study in a regional hospital, the Czech Republic, 2025.

BACKGROUND: Healthcare-associated infections (HAI) remain a major burden in acute care hospitals. Tr...

Biofilm-driven antimicrobial resistance: A review of molecular mechanisms, clinical implications, and therapeutic innovation.

Biofilms are structured microbial communities embedded within a self-produced extracellular polymeri...

Efflux pump gene ABCA as targets for deep learning-based de novo inhibitors in invasive aspergillosis caused by Aspergillus fumigatus.

This study aims to design and evaluate novel therapeutic binders targeting the ATP-binding region of...

Biological Parts in Yeast Synthetic Biology: From Regulatory Elements to Predictive Design Platforms.

Yeasts, particularly Saccharomyces cerevisiae, are important eukaryotic chassis for synthetic biolog...

Collateral sensitivity-harnessing microbial vulnerabilities as a solution to antimicrobial resistance.

Bacteria exhibit an evolutionary trade-off through their development of collateral sensitivity (CS) ...

Natural variation in IBF1 confers antimicrobial activity through altered flavonoid accumulation in rice hulls.

Secondary metabolites perform diverse physiological functions, and studies have identified genes and...

DeepEffector: A Protein Language Model-Driven Deep Learning Framework for Effector Prediction in Fungi and Oomycetes.

Crop diseases caused by fungal and oomycete pathogens threaten sustainable agricultural production, ...

Drug resistance in cancer: Emerging mechanisms, translational barriers, and pharmacological strategies.

Multidrug resistance (MDR) remains a major challenge in cancer treatment. MDR has been explained by ...

Infectious risks of transfusion: a 10-year look back and perspectives.

Almost 50 years following the advent -and ensuing tragedy- of transfusion-transmitted HIV, infectiou...