Critical Care

Sepsis

Latest AI and machine learning research in sepsis for healthcare professionals.

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Critical-Care Subcategories: Sepsis
Showing 127-147 of 9,027 articles
Integration of Metabolomics and Proteomics Reveals the Molecular Characterization of High-Altitude Hyperuricemia.

Hypobaric hypoxia-induced hyperuricemia (HUA) is a major health challenge for high-altitude populati...

Prediction of 123I-FP-CIT SPECT Results from First Acquired Projections Using Artificial Intelligence.

123I-FP-CIT dopamine transporter imaging is commonly used for the diagnosis of Parkinsonian syndrom...

Microglia-drive IRF8 upregulates complement pathway in Parkinson's disease.

Parkinson's disease (PD) is a widespread degenerative disorder of the central nervous system. The gr...

Integrated plasma and vegetation proteomic characterization of infective endocarditis for early diagnosis and treatment.

Infective endocarditis, a life-threatening condition, poses challenges for early diagnosis and perso...

Cell death-related signature genes: risk-predictive biomarkers and potential therapeutic targets in severe sepsis.

Sepsis is a systemic inflammatory response syndrome that predisposes to severe lung infections (SeAL...

Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory Response Syndrome Following Pediatric Percutaneous Nephrolithotripsy.

OBJECTIVE: This study aimed to develop and validate a machine learning-based model for predicting sy...

Undesired nexus poor health status of child under-five: A case study of Pakistan.

Childhood morbidity and mortality are key indicators of human development, particularly reflecting p...

Discovery of CYP1A1 Inhibitors for Host-Directed Therapy against Sepsis.

Bacterial sepsis remains a leading cause of death globally, exacerbated by the rise of multidrug res...

Gut microbiota, metabolites, and pulmonary hypertension: Mutual regulation and potential therapies.

Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pres...

Decoding dynamic brain networks in Parkinson's disease with temporal attention.

Detecting brief, clinically meaningful changes in brain activity is crucial for understanding neurol...

Fluticasone propionate in chronic rhinosinusitis with nasal polyps (CRSwNP): an artificial intelligence-driven consensus.

INTRODUCTION: Fluticasone propionate (FP) is a topical corticosteroid used to treat rhinosinusitis w...

Detecting Tardive Dyskinesia Using Video-Based Artificial Intelligence.

Tardive dyskinesia (TD) is a late-onset adverse effect of dopamine receptor-blocking medications, c...

Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.

OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. Ho...

A Benchmark for Virus Infection Reporter Virtual Staining in Fluorescence and Brightfield Microscopy.

Detecting virus-infected cells in light microscopy requires a reporter signal commonly achieved by i...

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Leveraging Hospital Information Data for Effective Antibiotic Stewardship.

Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship program...

Retrospective cohort study of infection and risk stratification using 6-year UBT data.

BACKGROUND: () infection is a major global health concern, linked to gastric cancer and metabolic d...

Electroencephalography microstates predict 12-h abstinence-induced craving changes in young smokers.

Nicotine abstinence inhibits the function of the mesolimbic dopamine system to enhance craving. EEG ...

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