Sepsis

Infection with Western equine encephalitis virus causes severe regional glial reactivity and neurodegeneration in the hippocampus with progressive accumulation of amyloid-β.

Encephalitic alphaviruses such as Western equine encephalitis virus (WEEV) result in significant morbidity through acute viremia and postencephalitic neurologic dysfunction. Viral neurotropism is linked to chronic glial-mediated neuroinflammation and increased risk for neurodegenerative disorders including Alzheimer disease and Parkinson disease. We previously showed that sublethal WEEV infection ...

Lactylation-related immune-metabolic dysregulation defines prognostic and therapeutic stratification in lung adenocarcinoma.

BACKGROUND: Lactylation links lactate metabolism with inflammatory signaling and immune regulation in tumors. However, its cellular distribution and translational value in lung adenocarcinoma (LUAD) remain unclear. METHODS: Single-cell RNA-sequencing datasets GSE189357 and GSE171145 were integrated to characterize lactylation-related activity, intercellular communication, and malignant epithelial ...

Antibiotic Resistance in Helicobacter pylori: Pathogenic Mechanisms and Eradication Barriers.

Antibiotic resistance in Helicobacter pylori is an important factor in the ineffectiveness of eradication regimens. The rate of resistance is not cons...

A Retrospective Comparative Study of Concordance Between Artificial Intelligence Remedy Suggestion and Synthesis Repertory Results in Urinary Tract Infection Cases.

BACKGROUND: Homeopathic prescribing traditionally relies on detailed case taking, repertorization, and consultation of the materia medica to identify ...

Comparison of Machine Learning-Based Reporting with Surgeon Reporting of Postoperative Complication in Cardiothoracic Morbidity and Mortality Conferences.

BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative complications, potentially limiting quality impro...

Targeting Airway Remodeling in Severe Asthma: Is There a Window of Opportunity for Biologic Therapy Predicting Effects Using Causal Artificial Intelligence?

Airway remodeling is increasingly recognized as a major determinant of asthma progression, fixed airflow limitation, and long-term morbidity, particul...

Development and Validation of an Interpretable Machine Learning Model for Predicting In-Hospital Mortality in Diabetic Patients with Sepsis-Associated Acute Kidney Injury.

BackgroundSepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in critically ill patients, with poor prognosis. Diabetes...

CLIN-LLM: A safety-constrained hybrid framework for clinical diagnosis and treatment generation.

Accurate symptom-to-disease classification and clinically-grounded treatment recommendations remain challenging, particularly in heterogeneous patient...

Can host genetics transform the sustainable control of tropical theileriosis? Insights from the Tick-Theileria interface.

Tropical theileriosis, caused by the tick-transmitted apicomplexan parasite Theileria annulata, remains a major constraint on cattle production across...

Clinical phenotyping of bloodstream infections: a review of current evidence.

BACKGROUND: Bloodstream infections (BSIs) are a leading cause of morbidity and mortality, yet their clinical heterogeneity continues to challenge effe...

[Development and validation of an explainable machine learning-based model for predicting mortality risk in polytrauma patients].

Polytrauma is commonly defined as multisystem trauma involving at least two body regions with an Abbreviated Injury Scale (AIS) score ≥ 3, characteriz...

Understanding the Functional Needs of Patients With Cardiovascular Disease Regarding Nursing Robots Using a Kano Survey Scale: Cross-Sectional Study.

BACKGROUND: With population aging and the growing burden of chronic diseases, the number of patients with cardiovascular disease (CVD) in China contin...

Dynamic liquid with shape-shifting induced photocurrent variation in a CuBi2O4 film for antimicrobial biocide recognition.

Antimicrobial biocides play a crucial role in infection control. Although traditional detection methods are accurate, they are cumbersome to operate, ...

ICU Open-Access Databases for Artificial Intelligence in Sepsis: Balancing Innovation With Data Quality Challenges.

OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Information Mart for Intensive Care IV [MIMIC-IV], eICU Coll...

Historians, Not Prophets: Sepsis Temperature Trajectories in the Machine Learning Age.

Ethnoveterinary herbal practices are associated with reduced within-farm antibiotic use and improved farm performance in commercial poultry in Bangladesh: A multi-district cross-sectional study.

ETHNOPHARMACOLOGICAL RELEVANCE: Antimicrobial resistance (AMR) in livestock is a critical One Health challenge, particularly in low- and middle-income...

Artificial Intelligence utilization, perceptions, and readiness within the infection prevention workforce: Findings from the 2025 APIC MegaSurvey.

BACKGROUND: The advent of artificial intelligence (AI) presents an opportunity to enhance infection prevention practices. However, its use among infec...

Predicting Indwelling Catheter Duration in Spinal Cord Injury Patients With Neurogenic Bladder Using Machine Learning.

OBJECTIVE: To develop and validate interpretable machine learning (ML) survival models for predicting indwelling catheter time (ICT) in early-stage sp...

Left ventricular hypertrophy as a predictor of adverse maternal and neonatal outcomes in chronic hypertension in pregnancy: a multicenter study.

OBJECTIVE: The impact of chronic hypertension (CHTN) combined with left ventricular hypertrophy (LVH) on adverse maternal and fetal pregnancy outcomes...

Prognostic factors and predictive modeling of in-hospital mortality among MDRO-positive inpatients: a retrospective cohort and GBD MICROBE study.

Existing studies on prognostic prediction for multidrug-resistant organisms (MDROs) are limited by single-model designs, incomplete consideration of w...