Infectious Disease

Genomic characterization of an unusual bloodstream Weissella viridescens isolate obtained from a Bulgarian intensive care unit patient.

BACKGROUND: The present study aimed to explore the genomic characteristics of an extremely rare clinical Weissella viridescens isolate (designated Wvir453), obtained in 2022 from the blood sample of a Bulgarian 37-year-old critically ill male patient diagnosed with spinal meningeal melanocytoma. METHODS AND RESULTS: Species identification using MALDI-TOF mass spectrometry, antimicrobial susceptibi...

Acceptability, Usability, and Clinical Appropriateness of an AI-Powered Tool for Linkage to HIV Services After HIV Self-Testing in South Africa: Mixed Methods Evaluation.

BACKGROUND: Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a challenge in many countries. While HIVST offers privacy and convenience for individuals to know their HIV status, many do not engage in follow-up care due to behavioral barriers like uncertainty about next steps, stigma, and privacy concerns. OBJECTIVE: This study evaluated the acceptab...

The miRNA-virus Axis in RNA Virus Infections: Mechanisms, Therapeutic Targeting, and Systems Biology Approaches.

RNA viruses are a diverse and rapidly evolving group of pathogens that significantly contribute to worldwide morbidity and mortality, propelled by ele...

Artificial Intelligence and Machine Learning-based prediction of tuberculosis treatment failure: A systematic review and meta-analysis.

BACKGROUND: Tuberculosis (TB) remains a leading cause of infectious disease mortality worldwide, and treatment failure contributes to ongoing transmis...

An Introduction to the Machine Learning Lifecycle for Clinical Microbiology.

BACKGROUND: Clinical microbiology is undergoing rapid transformation driven by modern technologies generating high-volume, high-dimensional, and heter...

Comparative evaluation of machine learning strategies for short-term dengue forecasting in Brazilian capital municipalities.

Dengue is an arboviral disease of high public health relevance, characterized by pronounced temporal variability, nonlinearity, and recurrent outbreak...

Natural and Synthetic AMPs from Latin America across Diversity Engineering and Applications.

Latin America's biodiversity accounts for approximately 60% of the world's total, fueling scientific research into natural products, a highly relevant...

Emerging and Re-Emerging Viral Infections in Poultry: Integrating Traditional and AI-Based Control Strategies.

Poultry production remains significantly challenged by emerging and re-emerging avian viral diseases, which are influenced by host-pathogen interactio...

Risk-aware artificial intelligence for translational vaccine design.

Artificial intelligence has accelerated epitope and antigen discovery, but prediction alone cannot determine vaccine readiness. Translational design r...

Early-stage anthelmintic discovery: Integrating phenotype, target and mechanism.

Parasitic helminth infections impose major burdens on human and animal health, and increasing anthelmintic resistance reinforces the need for new drug...

Bibliometrics and visualization analysis: Big data research on diabetic kidney disease from 2000 to 2025.

BACKGROUND: As the prevalence of diabetes rises, diabetic kidney disease (DKD) has become a leading cause of end-stage renal disease. Big data analysi...

Emerging therapies against infections due to free-living amoebae.

INTRODUCTION: Pathogenic free-living amoebae, including Naegleria fowleri, Acanthamoeba spp. and Balamuthia mandrillaris, are rare but frequently fata...

Machine learning models for predicting neonatal bacterial infections: a retrospective cohort study.

Bacterial infections represent a critical threat to neonatal health, accounting for approximately 25% of neonatal mortality globally. Timely and preci...

Development of adaptive activation functions with curvature and range modulation for abstract image feature learning in complex CNNs for cross-domain applications.

Deep learning architectures comprise hierarchies in modern machine learning studies, and these are not only full of semantic depth; they are also stru...

From Multi-Omics to Mechanism: Nucleocapsid-RCHY1-JUNB Axis Underlies SARS-CoV-2 Related Atrial Fibrillation Vulnerability.

BACKGROUND AND AIMS: SARS-CoV-2 exposure has been linked to cardiovascular complications, including atrial fibrillation (AF), but the host pathways co...

The next frontier: AI, multi-omics, and predictive models for weight gain in HIV.

PURPOSE OF REVIEW: People with HIV (PWH) are increasingly susceptible to excess weight gain and obesity after initiation of antiretroviral therapy. Ho...

Artificial intelligence research in journals indexed in the web of science "infectious diseases" category: a bibliometric analysis, 2016-2025.

PURPOSE: Artificial intelligence (AI) is increasingly being applied in the field of infectious diseases. This study aimed to characterize publication ...

Altered Complement and Tubular Mitochondrial Proteins Are Linked to Graft Loss in DSA+ Antibody-Mediated Rejection.

BACKGROUND: Antibody-mediated rejection (AMR) is the main driver of late kidney allograft loss. Anti-HLA donor-specific antibodies (DSA) are strongly ...

A Combined Chemoinformatics- and Machine Learning-Based Approach Identifies Chlormidazole as a Drug Repurposing Candidate against Aggressive Prostate Cancer.

Despite recent therapeutic advances, treatment options for advanced, therapy-resistant, and metastatic prostate cancer (PCa) remain limited. Here, we ...

Construction of an associative model for prolonged intensive care unit stay in sepsis patients combined with myocardial injury.

OBJECTIVE: This study aimed to identify the factors contributing to Prolonged Length of Stay (PLOS) in intensive care units for sepsis patients combin...