Infectious Disease

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 pharmacotherapy because of the substantial pharmacokinetic variability and narrow therapeutic window of many antifungal agents. However, the global research landscape and emerging trends in antifungal TDM have not been systematically evaluated. AIM: This study aimed to analyze global research trends, c...

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

Artificial intelligence (AI) is reshaping healthcare, and radiology is at the forefront for adoption. Increasing demand for imaging, complex protocols, quantitative image analysis, and workforce shortages drive AI development. However, clinical translation in pediatric imaging still lags its use in general radiology. Only a small number of approved tools carry explicit pediatric indications, and t...

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 therapeutics against rapidly evolving pathogens like HIV and...

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 studies face 2 major limitations. First, they often rel...

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 Saccharomyces cerevisiae and non-Saccharomyces yeasts...

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

ETHNOPHARMACOLOGICAL RELEVANCE: Multi-herb formulations, characterized by their complex synergistic compositions, are widely used in traditional medic...

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 stratify carbapenem-resistance probability among ICU pati...

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 their mode of action. Previously, we constructed ...

Deep learning reveals antimicrobial peptides within prions.

Prion and prion-like proteins are classically associated with protein misfolding, but amyloidogenic sequences can also participate in host defence. He...

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 outcomes in sub-Saharan Africa, including Ghana. OBJEC...

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 million bloodstream infections annually with mortality r...

Lipid droplet size profiling in yeast.

Lipid droplets are central hubs of cellular lipid metabolism and play crucial roles in health and disease. The yeast, Saccharomyces cerevisiae, serves...

Metagenomic analysis of water column samples collected from Green Canyon 233 prior to the Deepwater Horizon incident.

UNLABELLED: The Gulf of Mexico/Gulf of America provides ecosystem services derived from marine biodiversity and oil and gas resources. Threats posed b...

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

IMPORTANCE: Glossectomy and reconstruction for tongue tumors carries substantial risk of postoperative morbidity, yet current tools offer limited indi...

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 protein structure is far more conserved than sequence,...

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 Japan, approximately 30% of the population is dia...

Programming nanozyme identity for precision catalytic medicine by tailoring the bio-nano interface.

The clinical translation of nanozymes faces substantial challenges, as their therapeutic efficacy in vivo is often significantly diminished by multipl...

Acute effects of cadmium and zinc on crayfish (Procambarus clarkii): insights from deep learning-based behavioral analysis and physiological assessments.

While the biochemical impacts of heavy metals on aquatic organisms are well-documented, quantitative behavioral analyses remain limited. This study in...

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

Comparative Evaluation of ChatGPT, Google Translate, and UD Talk for Chinese-to-Japanese Translation in Cardiology and Pulmonology Outpatient Consultations: Prospective Observational Study.

BACKGROUND: Language barriers between health care providers and patients can compromise communication quality, patient safety, and health care equity....