Latest AI and machine learning research in pediatrics for healthcare professionals.
Environmental pollution of aquatic ecosystems leads to an interference in several fundamental bioche...
BACKGROUND: Behavioral and psychological symptoms of dementia (BPSD) affect patients' daily life and...
Mining social media data for studying the human condition has created new and unique challenges. Whe...
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in...
Fluid management has a major impact on the duration, severity, and outcome of critically ill childre...
Vitamin D deficiency in known to be high in obese and overweight adolescents. Few studies in other c...
BACKGROUND: Dry weight is the lowest weight patients on hemodialysis can tolerate; correct dry weigh...
PURPOSE: Published data regarding intradetrusor injection of onabotulinumtoxinA in adults with conge...
This study concerns the task of automatic structural heart abnormality risk detection from digital p...
The aim of this study was to develop methods for detecting the nonstationary periodic characteristic...
Zika virus, which has been linked to severe congenital abnormalities, is exacerbating global public ...
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of ...
Ontologies and terminologies have been identified as key resources for the achievement of semantic i...
Text mining of scientific libraries and social media has already proven itself as a reliable tool fo...
In silico modeling is a crucial milestone in modern drug design and development. Although computer-a...
The possibility of using the atomic coordinates of protein-ligand complexes to assess binding affini...
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decr...
Sequences of events have often been modeled with computational techniques, but typical preprocessing...
INTRODUCTION: Since female sexual dysfunction in systemic sclerosis women is multifactorial, we can ...
BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, wit...
Deep neural networks are increasingly being used in both supervised learning for classification task...