Machine learning and artificial intelligence for the diagnos... : Current Opinion in Infectious
Diseases Machine learning and artificial intelligence for the diagnosis of infectious diseases in …

During the last decade, a variety of molecular assays targeting respiratory viruses have
been developed and commercialized. Therefore, multiplex PCR are increasingly used in …

Chemotherapy‐induced mucositis increases the risk of blood stream infections (BSI) due to
translocation of bacteria across the intestinal epithelium. Our study investigated if …

Background: Healthy children presenting with neutropenia are often hospitalized and
treated empirically with antibiotics without an evidence of infection. The objective of this …

BACKGROUND Knowledge regarding the incidence, clinical course, and impact of
respiratory viral infections in children with acute lymphoblastic leukemia (ALL) is limited …

Purpose In febrile neutropenia (FN), no reliable marker has been identified to discriminate
between severe infection and other causes of fever early in the clinical course. Since …

Abstract The Hema e-Chart prospectively collected data on febrile events (FEs) in
hematological malignancy patients (HMs). The aim of the study was to assess the number …

Objectives Patients with febrile neutropenia are at high risk of morbidity and mortality from
infectious causes. Decreasing time to antibiotic (TTA) administration is associated with …

Objectives Information on the efficacy of extended meropenem administration in neutropenic
patients is scarce. Our objective was to determine whether the administration of meropenem …

Introduction Care of pediatric cancer patients is increasingly being provided by physicians in
community settings, including general emergency departments. Guidelines based on current …