Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Evaluation of growth and sporulation of a non-toxigenic strain of Clostridioides difficile (Z31) and its shelf viability.

The oral administration of non-toxigenic strains of Clostridioides difficile (NTCD) is currently sho...

MYH9-related disorders display heterogeneous kidney involvement and outcome.

BACKGROUND: MYH9-related diseases (MYH9-RD) are autosomal dominant disorders caused by mutations of ...

High-volume surfactant administration using a minimally invasive technique: Experience from a Canadian Neonatal Intensive Care Unit.

BACKGROUND: Surfactant delivery via a thin endotracheal catheter during spontaneous breathing, a tec...

Optimization of spray drying parameters and food additives to reduce glycation using response surface methodology in powdered infant formulas.

The heat-based spray drying process generating the highest level of advanced glycation end-products ...

Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial.

Artificial intelligence (AI) has potential to improve the accuracy of screening for valvular and con...

Application of a deep convolutional neural network in the diagnosis of neonatal ocular fundus hemorrhage.

There is a disparity between the increasing application of digital retinal imaging to neonatal ocula...

Leveraging Knowledge Representation to Maintain Immunization Clinical Decision Support.

Immunizations are one of the most cost-effective interventions for preventing morbidity and mortalit...

Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.

The purpose of this study was to identify an optimal definition of massive transfusion in civilian p...

CbpM and CbpG of Streptococcus Pneumoniae Elicit a High Protection in Mice Challenged with a Serotype 19F Pneumococcus.

Among many pneumococcal antigens, choline-binding proteins (CPBs) display a high immunogenicity in a...

Coreflood Study of Effect of Surfactant Concentration on Foam Generation in Porous Media.

The propagation of foam in an oil reservoir depends on the creation and stability of the foam in the...

A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.

OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospita...

Concentration of stromal cell-derived factor-1 (SDF-1/CXCL12) in the follicular fluid is associated with blastocyst development.

PURPOSE: To study the association between stromal cell-derived factor-1 (SDF-1/CXCL12) and vascular ...

The RSNA Pediatric Bone Age Machine Learning Challenge.

Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challen...

Artificial intelligence in drug development: present status and future prospects.

Artificial intelligence (AI) uses personified knowledge and learns from the solutions it produces to...

Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets.

Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a si...

Higher serum levels of fibroblast growth factor 21 in old patients with cachexia.

OBJECTIVE: Fibroblast growth factor (FGF)21 is promptly induced by short fasting in animal models to...

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