Infectious Disease

Association between long-term PM2.5 exposure and risk of urinary tract infection in children: a nationwide longitudinal cohort study.

BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children ...

Research trends and emerging topics in antifungal therapeutic drug monitoring: a bibliometric analysis with implications for clinical pharmacy practice.

INTRODUCTION: Therapeutic drug monitoring (TDM) plays an important role in optimizing antifungal pha...

Artificial Intelligence in Pediatric Imaging: A Primer for Pediatric Clinicians.

Artificial intelligence (AI) is reshaping healthcare, and radiology is at the forefront for adoption...

Public antibody clonotypes and deep learning identify SARS-CoV-2 and HIV broadly neutralizing antibodies in immune repertoires.

Broadly neutralizing antibodies (bnAbs) are essential for the development of vaccines and therapeuti...

Online Sepsis Prediction Using Vital Signs and Multiscale Temporal-Aware Contrastive Learning: Model Development and Validation Study.

BACKGROUND: Real-time prediction of sepsis is a critical yet highly challenging task. Existing studi...

Harvesting insights from recent advances in yeast genomics for predictable and precision wine fermentation.

Wine fermentation remains inherently variable because of the genetic and phenotypic diversity of Sac...

Multi-herb formulations modulating gut microbiota: A systematic review and data-driven analysis.

ETHNOPHARMACOLOGICAL RELEVANCE: Multi-herb formulations, characterized by their complex synergistic ...

Interpretable Machine Learning for Early Risk Stratification of Carbapenem Resistance Among ICU Patients with Sterile-Site Pseudomonas aeruginosa Isolates: Development and Internal Validation Using MIMIC-IV.

OBJECTIVES: We developed and internally validated an interpretable machine learning model to stratif...

Artificial intelligence-based phenotypic screening using Aspergillus oryzae identified a novel antifungal RK-1205-I.

When treated with various compounds, fungi exhibit characteristic morphological changes depending on...

Deep learning reveals antimicrobial peptides within prions.

Prion and prion-like proteins are classically associated with protein misfolding, but amyloidogenic ...

Enhancing protein expression in humans through codon optimization with transformer and contrastive learning.

Following the success of COVID-19 vaccines and therapies, mRNA-based therapeutics have attracted sig...

Modeling antiretroviral therapy adherence among people living with HIV: a cross-sectional study at Pantang Hospital, Ghana.

BACKGROUND: Poor adherence to antiretroviral therapy (ART) continues to undermine HIV treatment outc...

Engineered HSP90-MP65 Bivalent Fusion Antigen: A Novel Vaccine Candidate Against Invasive Candidiasis.

Invasive candidiasis represents a critical global health challenge, causing approximately 6.5 millio...

Lipid droplet size profiling in yeast.

Lipid droplets are central hubs of cellular lipid metabolism and play crucial roles in health and di...

Artificial Intelligence-Based Risk Prediction Models for Complications After Tongue Cancer Surgery.

IMPORTANCE: Glossectomy and reconstruction for tongue tumors carries substantial risk of postoperati...

Studying the Deep Evolution of Viruses in the Era of Artificial Intelligence Structure Prediction.

High mutation rates erode viral sequence similarity, obscuring deep evolutionary history. While prot...

Medical Consultation and HIV Testing After AI-Based Symptom Check: Retrospective Cohort Study.

BACKGROUND: Promoting early HIV testing and patient detection is an important public health goal. In...

Comment on: "Machine learning-based prediction of multi-level antimicrobial resistance in Klebsiella pneumoniae using whole-genome sequencing data".

Deep learning identifies water bodies from low-cost drone images for mosquito larval habitat mapping.

Mosquito larval source management remains a critical strategy for malaria control, but traditional m...

Intelligent automation cognitive system for accurate malaria diagnosis using digital blood smears.

Malaria is a potentially fatal illness caused by a parasite of the genus Plasmodium that humans get ...

Risk stratification for in-hospital mortality in sepsis-associated acute kidney injury patients receiving continuous renal replacement therapy: an interpretable, externally validated machine learning study.

Patients with sepsis-associated acute kidney injury (SA-AKI) requiring continuous renal replacement ...