Latest AI and machine learning research in sepsis for healthcare professionals.
INTRODUCTION: In sepsis treatment, achieving and maintaining effective antibiotic therapy is crucial...
BACKGROUND: Sepsis is a life-threatening organ dysfunction condition produced by dysregulation of th...
OBJECTIVE: Intra-abdominal candidiasis (IAC) is difficult to predict in elderly septic patients with...
BACKGROUND: Surgical site infections (SSIs) lead to increased mortality and morbidity, as well as in...
The analysis of Raman spectrum data has gradually transitioned into the era of machine learning. How...
Bacterial blight in pomegranate, caused by pv. (Xcp), is one of the most devastating diseases, lea...
BACKGROUND: Bloodstream infection (BSI) poses a significant life-threatening risk in pediatric patie...
UNLABELLED: Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth...
OBJECTIVES: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mo...
While past research has emphasized the importance of late blight infection detection and classificat...
Neonatal calf diarrhea (NCD) remains a significant contributor to calf mortality within the first 3 ...
Advances in bacteriophage genome sequencing and regulatory approvals of some bacteriophages in vario...
This study was conducted at Kocaeli University Hospital in Turkey and aimed to predict carbapenem-re...
INTRODUCTION: Machine learning (ML) has been tried in predicting outcomes following sepsis. This stu...
Sepsis is a clinical syndrome resulting from the interaction between coagulation, inflammation, immu...
BACKGROUND: Efforts toward tuberculosis management and control are challenged by the emergence of My...
BACKGROUND: Acinetobacter baumanni infection is a leading cause of morbidity and mortality in the In...
The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for imm...
Antibiotic-resistant bacteria pose considerable risks to global health, particularly through transmi...
Purpose: This study aims to establish and validate machine learning-based models to predict death in...
OBJECTIVES: This study aimed to develop machine learning (ML) prediction models for identifying bloo...