Infectious Disease

LysePred: A Multiscale Convolutional Neural Network for Predicting Hemolytic Activity of Antimicrobial Peptides.

Antimicrobial peptides (AMPs) represent promising alternatives to conventional antibiotics, yet hemolytic toxicity remains a critical barrier to clinical translation, with approximately 70% of known AMPs exhibiting high or moderate hemolytic activity. Existing computational prediction methods are often constrained by deficiencies, including high computational complexities, the inability to capture...

A bibliometric analysis of the application trends of information technology in antimicrobial stewardship within hospitals.

OBJECTIVES: This study uses bibliometric analysis to systematically map research trends, knowledge structure and evolution of information technology (IT) in hospital antimicrobial stewardship (AMS) over the last 20 years. METHODS: A Web of Science Core Collection search (2000-2025) yielded 258 English-language publications on IT applications in hospital AMS. A bibliometric analysis, utilising Cite...

Genetically engineered outer membrane vesicles as next-generation bionanomaterials for therapeutic and diagnostic applications.

Outer membrane vesicles (OMVs), naturally released by Gram-negative bacteria, represent a unique class of bionanomaterials with inherent immunogenicit...

Network analysis reveals that bHLH transcription factors positively regulate rice resistance to Magnaporthe oryzae.

Transcription factors (TFs) and nucleotide-binding leucine-rich repeat (NLR) genes are core components of the immune response in rice against Magnapor...

Real-Time and Non-Invasive Detection of Respiratory Viral Infections Using an Intelligent Odor Monitoring System (IOMS).

Real-time monitoring of infection-associated volatile organic compounds (VOCs) offers a non-invasive pathway for early respiratory infection detection...

Comparison of Gram stain interpretation accuracy between a computer-aided diagnosis app and microbiology specialists in blood culture samples.

UNLABELLED: Gram staining is one of the basic tests to identify the organism in microbiological laboratory, especially in blood culture. However, micr...

Drug repositioning as an antivirulence strategy: Ketoprofen targets quorum sensing and biofilm in Serratia sp.

Serratia sp. are opportunistic Gram-negative bacteria capable of forming robust biofilms and expressing a wide range of quorum sensing (QS)-regulated ...

High-throughput machine learning-aided antibody discovery for cell surface antigens.

Machine learning (ML) has the potential to revolutionize antibody design and selection, but its success depends on access to well-curated datasets of ...

Developing machine learning models for fluid milk spoilage classification.

The dairy as well as other food industries face major challenges as retirement of experienced staff members can lead to substantial knowledge and skil...

Correction: Interpretable machine learning-based real-time sepsis diagnosis.

High-throughput in situ single particle X-ray imaging of dehydrating viral capsids.

Single-stranded RNA viruses co-assemble their capsid with the genome, and variations in capsid structures can have significant functional relevance. I...

Unveiling the molecular mechanism of Qingwen Baidu decoction against dengue fever: an integrated study of bioinformatic analysis, machine learning and network pharmacology.

Dengue fever, a mosquito-borne disease caused by dengue virus (DENV), has become a global health problem, and no FDA-approved drug is currently availa...

Population pharmacokinetics of dalbavancin: external validation, model averaging, and implications for precision dosing in prolonged therapy.

Dalbavancin is increasingly used off-label for prolonged therapy in gram-positive infections, but optimal repeat-dosing strategies remain undefined, a...

Integrating host mRNA signatures and clinical trajectories with machine learning for risk stratification and survival prediction in sepsis: an ICU-based prospective cohort study.

BACKGROUND: Sepsis remains a leading cause of death in critically ill patients. Host mRNA biomarkers may provide complementary biological information ...

Transformer-accelerated discovery of inhibitors targeting the RpsAΔ438 deletion in PZA-resistant tuberculosis.

Tuberculosis is a major global public health problem caused by Mycobacterium tuberculosis. Pyrazinamide (PZA), a key first-line drug, is activated to ...

Risk Factor Analysis and Nomogram for Predicting 28-day in-hospital Mortality in ICU Patients with Liver Necrosis.

INTRODUCTION: The mortality risk factors in intensive care unit (ICU) patients with liver necrosis (LN) remain unclear. This study aimed to develop a ...

Performance of the Techcyte AI-based image analysis system for coproparasitological diagnosis in clinical stool specimens: a retrospective evaluation study.

UNLABELLED: Coproparasitological stool analysis based on microscopic examination is the reference diagnostic technique routinely performed in clinical...

Evaluation of the BD urine culture application for artificial intelligence-assisted urine culture interpretation.

Artificial intelligence-based culture reading tools can potentially accelerate reading, improving reporting consistency in image-based interpretation,...

Targeting the Myocardial Microenvironment: Novel Antiviral Strategies and Therapeutic Perspectives for Coxsackievirus B-Induced Myocarditis.

Coxsackievirus B3 is a primary cause of viral myocarditis, with ≈20% of cases progressing to dilated cardiomyopathy. Despite its clinical significance...

Exploring the genetic landscape of ciprofloxacin-induced DNA supercompaction in Escherichia coli.

DNA-damaging antibiotics like ciprofloxacin (CIP) induce extensive double-strand breaks in Escherichia coli, triggering both the SOS response and rapi...