Infectious Disease

Boron-Doped Diamond Electrodes for Voltammetric Determination of Major Antibiotic Classes: Electrochemical Mechanisms, Intelligent Analytical Systems, and Critical Perspectives.

This review sort of critically assesses how boron-doped diamond electrodes (BDDEs) are becoming more important for voltammetric determination of major antibiotic groups, like fluoroquinolones, tetracyclines, sulfonamides, $\beta$-lactams and rifamycins. It points out that conventional chromatography still has limitations such as high costs, plus demanding and sometimes complicated sample preparati...

An Explainable Cryobiopsy AI Model, CRAI, to Predict Progression in Interstitial Pneumonia.

Interstitial lung disease (ILD) encompasses diverse pulmonary disorders with varied prognoses. Current pathological diagnoses suffer from inter-observer variability, necessitating more standardized approaches. We developed an ensemble AI model for cryobiopsy, CRAI, to analyze transbronchial lung cryobiopsy (TBLC) specimens and predict patient outcomes. CRAI comprises seven modules for detecting hi...

Voriconazole Exacerbates Subtherapeutic Linezolid Exposure in Critically Ill Patients with Staphylococcus aureus infection: Drug-Drug Interaction Evaluation and Dose Optimization Based on Population Modeling and Ensemble Learning.

OBJECTIVE: This study systematically evaluated the pharmacokinetic interactions between linezolid and voriconazole in critically ill patients with Sta...

Genomic, epigenomic and transcriptomic regulation of cellular senescence.

Cellular senescence is a complex, highly regulated cell state induced by cellular damage and stress. Senescence is central to many areas of biology, w...

Retraction Note: A diagnostic model for sepsis using an integrated machine learning framework approach and its therapeutic drug discovery.

ViraLite: an ultracompact HIV viral load self-testing system with internal quality control.

Effective antiretroviral therapy has transformed HIV into a manageable chronic condition, provided viral suppression is maintained through routine vir...

Deep learning-based prediction of drug-target interactions between antiviral drugs and SARS-CoV-2 proteins using an image-based representation approach.

Drug repurposing offers a time-efficient strategy for identifying therapeutics against emerging pathogens such as SARS-CoV-2. In this study, we apply ...

Guideline Concordance of Large Language Model Responses to Parent-oriented Guideline Prompts About Pediatric Acute Bacterial Arthritis.

BACKGROUND: Large language models (LLMs) are increasingly used by patients and caregivers to obtain medical information. In pediatric acute bacterial ...

An Engineered Multicellular Bacterial Network for Simultaneously Answering Multiple Computational Decision Problems.

Living cell-based computers are in their infancy and answering multiple computational decision problems by a single system remains a key challenge. He...

ViralMap: predicting features in viral proteins from primary sequence.

Modern viral vaccines are designed to elicit an immune response against viral proteins that mediate infection, making those proteins important targets...

The role of machine learning in early detection, accurate diagnosis, and timely treatment of diseases.

The contemporary healthcare landscape is experiencing a significant transformation driven by the rapid growth of digital health data and advancements ...

scReGAT: Leveraging Knowledge of Regulatory Interactions to Predict Long-range Gene Regulation at Single-cell Resolution.

Understanding gene regulation at single-cell resolution is crucial for unraveling development, disease, and cellular identity. We introduce single-cel...

Machine learning models identify prognostic factors in systemic lupus erythematosus patients with epstein-barr virus infection.

OBJECTIVE: To identify poor prognostic factors in Epstein-Barr virus (EBV)-positive systemic lupus erythematosus (SLE) using interpretable machine-lea...

Beyond Invariable Sites: Using Evolutionary Stasis to Map Multi-Layered Constraints on the Evolution of Viral and Mammalian Genomes.

The quantification of genomic conservation has progressed from foundational statistical modeling of evolutionary rates to state-of-the-art deep learni...

Machine learning reveals temperature as a key predictor of dengue risk across Thailand's provinces: A 20-year analysis.

BACKGROUND: Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between env...

Screening of potential targets of (2S)-2'-methoxykurarinone against sepsis and in vivo verification in zebrafish model.

OBJECTIVE: To screen the potential core targets of (2S)-2'-Methoxykurarinone, a dimethyldihydroflavonoid derived from Sophora flavescens, against seps...

Artificial intelligence in antimicrobial stewardship: prediction, clinical applications, and implementation challenges.

BACKGROUND: Antimicrobial resistance (AMR) continues to threaten modern infectious diseases practice. Antimicrobial stewardship programs (ASPs) remain...

Transdermal delivery of biologics.

Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabol...

Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations.

Plants recruit antagonistic microbes to defend against phytopathogens, offering a route to rational biocontrol beyond empirical screening. Here, using...

The Role of Pharmacists in Tackling Mpox: Challenges and Future Prospects: A Narrative Review.

BACKGROUND AND AIMS: Pharmacists play a key role in managing and mitigating mpox through clinical care, pharmacovigilance, vaccine management, and res...