Sepsis

Engineering Organoid Platforms for Pathogenesis Research.

Emerging and re-emerging infectious diseases ranging from the 1918 H1N1 influenza pandemic to the recent SARS-CoV-2 and monkeypox virus outbreaks continue to pose profound threats to global public health. These crises underscore the critical need for high-fidelity and human-relevant infection models. Organoid technology has emerged as a cornerstone platform for pathogen research by faithfully reca...

Systems biology integration of miR-mRNA profiles identifies steroid refractoriness mechanisms and biomarker candidates in ulcerative colitis.

Approximately 60% of patients with ulcerative colitis (UC) show steroid resistance or dependence, underscoring the need for biomarkers predicting therapeutic response. Despite increasing availability of biologics, corticosteroids remain essential first-line therapy for moderate-to-severe flares in many settings. We applied an integrative systems biology and machine-learning framework to combine mi...

Performance, Safety, and Patient Experience of an Autonomous Robotic Phlebotomy Device: A Multicenter Trial.

BACKGROUND: Automated phlebotomy has the potential to improve patient outcomes and address phlebotomist workforce challenges. The Autonomous Blood Dra...

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 (ICU), posing diagnostic and management challenges...

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 existing sensors face two critical bottlenecks: prol...

Subphenotypes of pneumonia defined by pulmonary histopathological features.

RATIONALE: Establishing subphenotypes of pneumonia based on host biology will be a step toward using host-directed therapies (to complement microbe-di...

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 Artificial Intelligence (AI) prediction model called Sydn...

Multiomics Profiling Identifies Blood-Based Diagnostic Markers for Sepsis.

Sepsis, characterized by a rapid transition to systemic immune dysregulation and multiorgan failure, poses a formidable clinical challenge. The lack o...

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 cancer (NSCLC), but resistance to EGFR tyrosine kinas...

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. This study aimed to integrate biologically relevant...

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

INTRODUCTION: Atopic Dermatitis (AD) is a chronic inflammatory skin disease characterized by complex pathogenesis, variable clinical phenotypes, and b...

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 response to infection. Due to the complex and rapid prog...

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 discovery. However, heterogeneity across studies o...

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 innate sensing, host genetic susceptibility, and ada...

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 alterations, yet the mechanisms by which microbia...

Quorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges.

Typhoid fever, caused by Salmonella enterica subsp. enterica serovar Typhi (Salmonella Typhi), remains a significant global health challenge that is i...

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. Despite recent advances clinicians continue to d...

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 HIV co-infection model with intercellular delays and...

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 inside vehicle cabins, where occupants share a confin...

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 in developing countries. Neonates are highly vulner...