Pediatrics

Comparative cytokine signatures and cognitive deficits in early-onset schizophrenia and adolescent major depression: Toward refined diagnostic classification frameworks.

BACKGROUND: This study analyzed plasma cytokine patterns in individuals with schizophrenia (SCZ), ma...

Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great Arteries.

L-loop congenitally corrected transposition of the great arteries (ccTGA) is a rare congenital heart...

Early outcome-prediction with an automated EEG background trend in hypothermia-treated newborns with encephalopathy.

BACKGROUND: Therapeutic hypothermia is an intervention that improves outcomes and alters early outco...

Low birth weight among neonates: Investigating incidence, risk factors, and AI-enabled predictive modeling for risk estimation.

BackgroundLow birth weight serves as a vital measure of maternal health and the efficacy of prenatal...

A Proof-of-Concept Diagnostic Platform for Neonatal Calf Diarrhea using Serum Infrared Spectroscopy and Predictive Analytics.

This study presents a novel diagnostic platform for the rapid and non-invasive detection of neonatal...

Mindset Matters: Exploring the Link Between Mindsets, Learning Intentions, and Performance in Biomedical Science Students.

Students' 'mindset' (self-beliefs and attitudes toward their abilities) can impact academic achievem...

Machine learning identifies prominent risk factors for depressive symptoms among Chinese children and adolescents.

BACKGROUND: Identifying key risk factors for depressive symptoms in children and adolescents is cruc...

Predicting pulmonary hemodynamics in pediatric pulmonary arterial hypertension using cardiac magnetic resonance imaging and machine learning: an exploratory pilot study.

PURPOSE: Pulmonary arterial hypertension (PAH) significantly affects the pulmonary vasculature, requ...

Psychosocial considerations in pediatric heart transplantation: Initial validation of the Pediatric Psychosocial Assessment Tool at a single center.

BACKGROUND: Pre-transplant psychosocial assessment, in conjunction with medical and surgical evaluat...

Explainable CT-based deep learning model for predicting hematoma expansion including intraventricular hemorrhage growth.

Hematoma expansion (HE), including intraventricular hemorrhage (IVH) growth, significantly affects o...

Machine learning using serial changes in proteinuria during initial steroid therapy to predict treatment response and immunosuppressant use in pediatric idiopathic nephrotic syndrome.

BACKGROUND: Epidemiological studies on idiopathic nephrotic syndrome (INS) in children have identifi...

An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience.

Text mining has emerged as a powerful strategy for extracting domain knowledge structure from large ...

Trade-off between resistance and persistence in high cell density cultures.

Bacterial growth to high cell densities is commonly observed in infections, microbiomes, and biomanu...

Pediatric Maxillofacial Trauma: Machine Learning Based Predictive Modeling to Identify Trauma Patterns.

AIM: To analyze the characteristics of pediatric facial trauma and predict factors influencing them ...

Effectiveness of an Artificial Intelligence-Infused SinDance Exergame for Enhancing Physical Functions and Well-Being in Older Adults: A Pilot Randomized Controlled Trial.

Fecal gut microbiota and amino acids as noninvasive diagnostic biomarkers of Pediatric inflammatory bowel disease.

BACKGROUND AND AIMS: Fecal calprotectin (FCP) has limited specificity as diagnostic biomarker of ped...

DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma.

Neuroblastoma is a common pediatric cancer that affects thousands of infants worldwide, especially c...

MPSE identifies newborns for whole genome sequencing within 48 h of NICU admission.

Identifying critically ill newborns who will benefit from whole genome sequencing (WGS) is difficult...

Rapid prediction of antibiotic resistance in complex using whole-genome and metagenomic sequencing.

Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccu...

Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury ...

Oxygenated Organic Molecules over the Boundary Layer Aloft in Beijing.

Oxygenated organic molecules (OOMs) originate from both direct emissions and secondary formation via...