Background: Mass gathering is a risk factor for infectious diseases transmission. Therefore, rapid detection of infections is highly desirable. The current gold standard approach to detect bacterial infections in clinical samples (biological fluids) requires three days of bacterial culture to obtain the diagnosis and antibiotic sensitivity results1. This approach, although very accurate results in considerable delay in initiating proper treatment which increases the transmission of infection, mainly hospital-acquired infections. Therefore, rapid detection of infection would lead to rapid clinical interventions, which mitigate the spread of infection and support antibiotic stewardship consequently reducing the burden of hospital-acquired inf...
Artificial intelligence which became important in the laboratory is used in clinical microbiology in...
Introduction: Antimicrobial resistance (AMR) in bacteria is a global health crisis due to the rapid ...
Urinary tract infection is one of the most common bacterial infections leading to increased morbidit...
AbstractClinical bacterial diagnostic techniques take between 24 and 48h and require plating, growth...
150 million people worldwide suffer one or more urinary tract infections (UTIs) annually. UTIs are a...
Traditional methods for identifying pathogens in bacteremic patients are slow (24-48+ h). This can l...
Urinary tract infections (UTIs) are one of the most common bacterial infections experience by humans...
Testing for the presence of microorganisms in biological samples in order to diagnose infections is ...
Acute urinary tract infections (UTIs) are one of the most common nosocomial bacterial infections, wh...
Artificial intelligence which became important in the laboratory is used in clinical microbiology in...
Respiratory infections rank fourth in the global economic burden of disease. Lower respiratory tract...
Urinary tract infection is one of the most common bacterial infections leading to increased morbidit...
Sensitive, selective, rapid, and label-free detection of pathogenic bacteria with high generality is...
Efficient treatments in bacterial infections require the fast and accurate recognit...
Acute urinary tract infections (UTIs) are one of the most common nosocomial bacterial infections, wh...
Artificial intelligence which became important in the laboratory is used in clinical microbiology in...
Introduction: Antimicrobial resistance (AMR) in bacteria is a global health crisis due to the rapid ...
Urinary tract infection is one of the most common bacterial infections leading to increased morbidit...
AbstractClinical bacterial diagnostic techniques take between 24 and 48h and require plating, growth...
150 million people worldwide suffer one or more urinary tract infections (UTIs) annually. UTIs are a...
Traditional methods for identifying pathogens in bacteremic patients are slow (24-48+ h). This can l...
Urinary tract infections (UTIs) are one of the most common bacterial infections experience by humans...
Testing for the presence of microorganisms in biological samples in order to diagnose infections is ...
Acute urinary tract infections (UTIs) are one of the most common nosocomial bacterial infections, wh...
Artificial intelligence which became important in the laboratory is used in clinical microbiology in...
Respiratory infections rank fourth in the global economic burden of disease. Lower respiratory tract...
Urinary tract infection is one of the most common bacterial infections leading to increased morbidit...
Sensitive, selective, rapid, and label-free detection of pathogenic bacteria with high generality is...
Efficient treatments in bacterial infections require the fast and accurate recognit...
Acute urinary tract infections (UTIs) are one of the most common nosocomial bacterial infections, wh...
Artificial intelligence which became important in the laboratory is used in clinical microbiology in...
Introduction: Antimicrobial resistance (AMR) in bacteria is a global health crisis due to the rapid ...
Urinary tract infection is one of the most common bacterial infections leading to increased morbidit...