Latest AI and machine learning research in sepsis for healthcare professionals.
BACKGROUND: Bloodstream infection (BSI) poses a significant life-threatening risk in pediatric patie...
Bacterial blight in pomegranate, caused by pv. (Xcp), is one of the most devastating diseases, lea...
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...
Advances in bacteriophage genome sequencing and regulatory approvals of some bacteriophages in vario...
Neonatal calf diarrhea (NCD) remains a significant contributor to calf mortality within the first 3 ...
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: 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...
Array-based sensing technology holds immense potential for discerning the intricacies of biological ...
Antibiotics like Ciprofloxacin (Cfx), tetracycline (Tet) and Tobramycin (Tob) are commonly used agai...
In this study, we introduce a novel approach that integrates interpretability techniques from both t...
The enormous diversity of bacteriophages and their bacterial hosts presents a significant challenge ...
Supervised machine-learning (SML) algorithms are potentially powerful tools that may be used for scr...
BACKGROUND: Sepsis is a life-threatening condition that causes millions of deaths globally each year...