Critical Care

Sepsis

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

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Critical-Care Subcategories: Sepsis
Showing 1681-1701 of 9,043 articles
Sepsis Important Genes Identification Through Biologically Informed Deep Learning and Transcriptomic Analysis.

Sepsis is a life-threatening disease caused by the dysregulation of the immune response. It is impor...

Mesenchymal stem cell transplantation ameliorates inflammation in spinal cord injury by inhibiting lactylation-related genes.

BACKGROUND: The immune microenvironment significantly influences neural regeneration in spinal cord ...

GLOBAL TRENDS IN ARTIFICIAL INTELLIGENCE AND SEPSIS-RELATED RESEARCH: A BIBLIOMETRIC ANALYSIS.

Background: In the field of bibliometrics, although some studies have conducted literature reviews a...

MACHINE LEARNING AND BIOINFORMATICS TO IDENTIFY COAGULATION BIOMARKERS IN SEPSIS-RELATED KIDNEY INJURY.

Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with m...

Machine learning-assisted ratiometric fluorescence sensor array for recognition of multiple quinolones antibiotics.

Developing analytical methods for simultaneous detection of multiple antibiotic residues is crucial ...

Harnessing advances in mechanisms, detection, and strategies to combat antimicrobial resistance.

Antimicrobial resistance (AMR) is a growing global health crisis, threatening the effectiveness of a...

Accelerating antimicrobial stewardship: An AI-CDSS approach to combating multidrug-resistant pathogens in the era of increasing resistance.

OBJECTIVES: The World Health Organization has identified Klebsiella pneumoniae (KP) and Pseudomonas ...

A machine learning approach for assessing acute infection by erythrocyte sedimentation rate (ESR) kinetics.

BACKGROUND: The erythrocyte sedimentation rate (ESR) is a traditional marker of inflammation, valued...

Discovery of naturally inspired antimicrobial peptides using deep learning.

Non-ribosomal peptides (NRPs) are promising lead compounds for novel antibiotics. Bioinformatic mini...

Development and experimental verification of a prognosis model for hypoxia- and lactate metabolism-associated genes in HNSCC.

Hypoxia and lactate metabolism are both distinctive characteristics of cancerous cells. Head and nec...

Artificial intelligence approaches for anti-addiction drug discovery.

Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric cond...

ABP-Xplorer: A Machine Learning Approach for Prediction of Antibacterial Peptides Targeting -tRNA-Methyltransferase (TrmD).

(MAB) infections pose a significant treatment challenge due to their intrinsic resistance to antibi...

Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey.

IMPORTANCE: Sepsis is a major cause of morbidity and mortality, with early intervention shown to imp...

The MEFIER Score-A Risk Score to Stratify Infective Endocarditis in Patients With Bacteremia Based on an 11-Year Territory-Wide Cohort.

BACKGROUND: The 2023 Duke-International Society for Cardiovascular Infectious Diseases (ISCVID) guid...

Machine Learning Insights Into Amputation Risk: Evaluating Wound Classification Systems in Diabetic Foot Ulcers.

This study compares the performance of various wound classification systems to determine which syste...

Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...

Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia.

OBJECTIVES: Hospitalized community-acquired pneumonia (CAP) patients are admitted for ventilation, v...

Artificial Intelligence and Hand Hygiene Accuracy: A New Era in Infection Control for Dental Practices.

OBJECTIVE: The study aimed to assess the efficacy of an artificial intelligence (AI) model in evalua...

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