Sepsis

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study.

BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit ...

A dual-band radio-frequency biosensing platform with physics-informed deep learning for simultaneous sweat pH and lactate monitoring.

Continuous monitoring of sweat pH and lactate is of great value for physiological assessment, yet ex...

Subphenotypes of pneumonia defined by pulmonary histopathological features.

RATIONALE: Establishing subphenotypes of pneumonia based on host biology will be a step toward using...

The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Support Decision Making in Emergency Departments: Model Explainability and Feature Importance Analysis.

OBJECTIVE: Evaluate the importance of specific variables contributing to a recently reported Artific...

Multiomics Profiling Identifies Blood-Based Diagnostic Markers for Sepsis.

Sepsis, characterized by a rapid transition to systemic immune dysregulation and multiorgan failure,...

Mycoplasma infection drives EGFR-TKI resistance through convergent transcriptomic reprogramming in non-small cell lung cancer.

Epidermal growth factor receptor (EGFR) mutations are an oncogenic driver in non-small cell lung can...

A tabular prior-data fitted network-based prediction model integrating ferritin and total iron-binding capacity for 30-day all-cause mortality in critically ill cancer patients.

OBJECTIVES: Accurately predicting outcomes for critically ill cancer patients remains challenging. T...

Serum-Proteomic Profiling Reveals Distinct Atopic Dermatitis Severity-Linked Signatures.

INTRODUCTION: Atopic Dermatitis (AD) is a chronic inflammatory skin disease characterized by complex...

The role of cellular senescence in sepsis and its mechanism in copper death: An analysis based on machine learning.

Sepsis is characterized by potentially fatal organ failure resulting from the host's abnormal respon...

Modular RNA-seq Analytics for Exploratory Biomarker Discovery using Public Data.

Publicly available RNA sequencing (RNA-seq) data provide a cost-effective springboard for biomarker ...

Interferon-Associated Antiviral Programs Define LAG-3+ Exhaustion-Like CD8+ T-Cell Remodeling in Influenza a Virus Infection: An Integrative Single-Cell and Multi-Cohort Analysis.

BACKGROUND: Influenza A virus (IAV) infection induces complex antiviral immune responses, yet how in...

Integrative Analysis Reveals Interactions Between Gut Microbiota-Derived Metabolites and the Brain in Parkinson's Disease.

Parkinson's disease (PD) is a neurodegenerative disorder increasingly associated with gut microbiota...

Recent advances in screening, diagnosis, prognosis and personalized treatment of sepsis.

Sepsis is a multi-system physiological syndrome defined as a dysregulated host response to infection...

Bifurcation and chaos design of radial basis neural network for predictive modeling of fractional double-strain HIV co-infection model with intercellular delays and stochastic effects.

The aim of the present study is to obtain the numerical solutions of the fractional double-strain HI...

Adaptive ventilation based on cough detection and localization for airborne infection control in vehicles.

Cough-generated pathogen-laden aerosols can lead to airborne transmission of infectious diseases ins...

Neonatal Bloodstream Infections: A Narrative Review on Diagnostic and Therapeutic Challenges and Prospects in Developing Countries.

BACKGROUND: Bloodstream infections (BSIs) pose a significant global health challenge, particularly i...

Comment on: "Predicting SIRS after PCNL using machine learning: the joint impact of sarcopenia and staghorn stones".

The use of artificial intelligence to predict postoperative outcomes following percutaneous nephrolithotomy: A systematic review of prognostic modeling studies.

Artificial intelligence (AI) is increasingly applied in clinical practice to enhance prediction of p...

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...

Rewiring immunometabolism in hepato-biliary-pancreatic cancers: Unraveling TME-mediated metabolic suppression and advancing next-generation immunotherapeutic approaches.

Hepato-biliary-pancreatic cancers, notorious for their pronounced heterogeneity and poor prognosis, ...

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 e...