Sepsis

Identification of key genes and development of an identifying machine learning model for sepsis.

OBJECTIVE AND DESIGN: This study aims to identify key genes of sepsis and construct a model for seps...

Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study.

BACKGROUND: Substance use disorder (SUD) involves excessive substance consumption and persistent rew...

[Early warning scores: a rapid umbrella review].

BACKGROUND: Early warning scores (EWS) are used for monitoring and evaluating vital signs in hospita...

Artificial Intelligence-Based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study.

BACKGROUND: Treatment of metastatic spinal disease often involves surgical intervention; however, su...

Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.

Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Heal...

Microrobots for Antibiotic-Resistant Skin Colony Eradication.

Self-propelled nano- and micromachines have immense potential as autonomous seek-and-act devices in ...

Photocatalytic microrobots for treating bacterial infections deep within sinuses.

Microrobotic techniques are promising for treating biofilm infections located deep within the human ...

Renal Dysfunction Across the Spectrum of Cardiogenic Shock: Mechanisms, Clinical Implications, and Therapeutic Strategies.

PURPOSE OF REVIEW: This review aims to elucidate the complex interplay between cardiogenic shock (CS...

Exploring the complex interplay between oral infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs.

() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...

Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms.

Bone marrow stromal cell antigen-1 (BST1) expression is elevated in a variety of human diseases, but...

Mortality risk associated with clinical signs of possible serious bacterial infection (PSBI) in young infants in Africa and Asia: protocol for a secondary pooled analysis.

INTRODUCTION: The WHO's Integrated Management of Childhood Illness (IMCI) in young infants <2 months...

Physiological Response of Tissue-Engineered Vascular Grafts to Vasoactive Agents in an Ovine Model.

Tissue-engineered vascular grafts (TEVGs) are emerging as promising alternatives to synthetic grafts...

Machine learning approaches for predicting antibiotic resistance genes abundance changes during biological nitrogen removal process.

Wastewater treatment plants (WWTPs) serve as reservoirs for multiple antimicrobial agents (AAs), the...

Validation of an artificial intelligence-based algorithm for predictive performance and risk stratification of sepsis using real-world data from hospitalised patients: a prospective observational study.

OBJECTIVE: The heterogeneous nature of sepsis renders determining its underlying causes difficult, w...

Enhancing early mortality prediction for sepsis-associated acute respiratory distress syndrome patients via optimized machine learning algorithm: development and multiple databases' validation of the SAFE-Mo.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is associated with high mortality, with sepsi...

Dysregulated neural coding in the vagus nerve during long sepsis.

Sepsis is a life-threatening condition characterized by organ dysfunction resulting from the body's ...

Machine learning model for daily prediction of pediatric sepsis using Phoenix criteria.

BACKGROUND: Early sepsis diagnosis is essential for initiating prompt treatment, preventing the prog...

Prediction of Sepsis after Endourologic Kidney Stone Surgery: A Machine Learning Approach.

Sepsis secondary to urinary tract infection after kidney stone surgery is associated with considera...

AI-assisted diagnosis of Helicobacter pylori infection: strengths, limitations, and future directions.

Advancing AMR Surveillance: Confluence of One Health and Big Data Integration : Converging One Health and Big Data for AMR.

Antibiotic resistance poses a critical global health threat, demanding robust surveillance systems t...

Morphological Profiling of Imaging Flow Cytometry Data Uncovers Heterogeneity in Infected Gephyrocapsa huxleyi Cultures.

Phytoplankton, such as the coccolitophore Gephyrocapsa huxleyi (G. huxleyi), has a major ecological ...