Latest AI and machine learning research in pediatrics for healthcare professionals.
The prevalence of health problems during childhood and adolescence is high in developing countries such as Brazil. Social inequality, violence, and malnutrition have strong impact on youth health. To better understand these issues we propose to combine machine-learning methods and graph analysis to build predictive networks applied to the Brazilian National Student Health Survey (PenSE 2015) data,...
BACKGROUND: Platelet-rich plasma (PRP) contains pro-angiogenic growth factors including vascular endothelial growth factor (VEGF). Angiogenesis is a necessary component of wound healing in instances of diabetic foot ulcers (DFU). PRP composition varies depending on methods and donor health status. Our group has developed an improved PRP protocol for diabetes treatment. The aims of this study were ...
INTRODUCTION AND OBJECTIVE: Endourological and percutaneous approaches are the standard of care for treatment of pediatric urolithiasis. However, in c...
Fetal yawning is of interest because of its clinical, developmental and theoretical implications. However, the methodological challenges of identifyin...
Early development of the digestive tract is crucial for achieving maximal growth and development of chickens. This study examined the effects of (IO)...
BACKGROUND: Sepsis in children with cardiovascular involvement can increase mortality. Recently, many studies have been conducted to investigate tropo...
The chemical composition of Essential Oils and was determined, and their activity against important phytopathogenic and post-harvest fungi was studi...
INTRODUCTION: Infants can experience pain similar to adults, and improperly controlled pain stimuli could have a long-term adverse impact on their cog...
Recombinant epithelial cell adhesion molecule extracellular domain (EpEX) has a high potential as a candidate for passive and active immunotherapy as ...
In conventional non-quantitative magnetic resonance imaging, image contrast is consistent within images, but absolute intensity can vary arbitrarily b...
A key feature of living tissues is their capacity to remodel and grow in response to environmental cues. Within continuum mechanics, this process can ...
A highly sensitive and broadly specific competitive indirect enzyme-linked immunosorbent assay (ciELISA) method was developed for the simultaneous det...
Understanding large-scale crop growth and its responses to climate change are critical for yield estimation and prediction, especially under the incre...
Apigenin-7-O-glucoside, a flavonoid glucoside known to inhibit cancer cell growth, fungi growth, both intra and extracellular reactive oxygen species ...
: The newborn brain MRI (magnetic resonance imaging) tissue segmentation plays a vital part in assessment of primary brain growth. In the newborn stag...
A deep learning classifier for detecting seizures in neonates is proposed. This architecture is designed to detect seizure events from raw electroence...
In this study, we aimed to demonstrate the feasibility of the application of biocompatible liquid type fluorescent carbon nanodots (C-paints) to micro...
We present the application of limited one-time sampling irregularity map (LOTS-IM): a fully automatic unsupervised approach to extract brain tissue ir...
Artificial intelligence (AI), the computerized capability of doing tasks, which until recently was thought to be the exclusive domain of human intelli...
The amount of data collected and managed in (bio)medicine is ever-increasing. Thus, there is a need to rapidly and efficiently collect, analyze, and c...