Objective To determine the effects of using unstructured clinical text in machine learning
(ML) for prediction, early detection, and identification of sepsis. Materials and methods …

Nucleic acid amplification technology (NAAT) has assumed a critical position in disease
diagnosis in recent times and contributed significantly to healthcare. Application of these …

Patients in intensive care units (ICUs) are at high risk for healthcare-acquired infections
(HAI) due to the high prevalence of invasive procedures and devices, induced …

Background Metagenomic next-generation sequencing (mNGS) has the potential to become
a complementary, if not essential, test in some clinical settings. However, the clinical …

Background Time to antibiotic administration is a key element in sepsis care; however, it is
difficult to implement sepsis care bundles. Additionally, sepsis is different from other …

Background Guidelines emphasize rapid antibiotic treatment for sepsis, but infection
presence is often uncertain at initial presentation. We investigated the incidence and drivers …

In emergency department (ED) settings, rapid and precise diagnostic evaluations are critical
to ensure better patient outcomes and efficient healthcare delivery. This study assesses the …

Background The updated Surviving Sepsis Campaign guidelines recommend a 1-hour
window for completion of a sepsis care bundle; however, the effectiveness of the hour-1 …

Abstract Introduction Metagenomic Next‐Generation Sequencing (mNGS) is an emerging
technique for microbial identification and diagnosis of infectious diseases. The clinical utility …

The nature of microorganisms and the efficiency of antimicrobials have witnessed a huge co-
dependent change in their dynamics over the last few decades. On the other side, metals …