Pediatrics

Machine learning-assisted design of a dendritic cell nanovaccine inducing twin immunity against monkeypox.

The global emergence of monkeypox virus (MPXV) has created an urgent need for effective vaccines tha...

Associations of Phthalate, Organophosphate Flame Retardant, and Bisphenol Exposures with Lifestyle Behaviors and Residential Environmental Factors Among Early Adolescents: The Hokkaido Study.

Humans are widely exposed to environmental chemicals, yet evidence integrating multiple behaviors an...

Machine Learning-Based Risk Stratification Tool for Hearing Loss in High-Risk Neonates.

OBJECTIVE: This study aims to develop and evaluate a machine learning-based risk stratification tool...

When Deepfakes Meet Herd Immunity: Artificial Intelligence, Vaccine Avoidance, and the Next Infodemic Threat.

Vaccination remains among the most effective public health interventions, but its impact increasingl...

Completely free-breathing cardiac MRI using deep learning reconstruction reduces sedation and scan time in children.

BACKGROUND: Traditional cardiac magnetic resonance (CMR) imaging scan times are long and require bre...

Beyond Accuracy: Defining the Role of Artificial Intelligence in Pediatric Electrocardiography.

Naïve adaptive immune receptor repertoires in celiac disease assessed by machine learning; impact of the HLA-DQ2.5 allotype on the TCR repertoire.

The adaptive immune receptor repertoire (AIRR) - the collection of an individual's B-cell and T-cell...

Model-guided design of defined microbial community reveals interactions underpinning plant growth and stress tolerance.

Defined microbial communities (DMCs; also known as SynComs) offer a promising strategy to enhance pl...

Machine Learning-Based First-Trimester Antenatal Risk Prediction for Adverse Maternal and Neonatal Outcomes: Multicenter Model Development Study.

BACKGROUND: Maternal outcomes remain inequitable worldwide. Severe morbidity persists, and current r...

Machine learning-based prediction model for postoperative blood transfusion in pediatric patients with Hirschsprung's disease.

BACKGROUND: Children undergoing Hirschsprung's disease (HD) surgery are at risk of postoperative tra...

From Human-Centered Results to Real-World Impact: Medical Humanities Cross-disciplinary Research.

This collaboratively written paper presents three case studies where researchers from the humanities...

AI-Based Approaches to Refugee Mental Health Care: Systematic Integrative Review.

BACKGROUND: Refugees and forcibly displaced populations experience elevated rates of mental health c...

Can host genetics transform the sustainable control of tropical theileriosis? Insights from the Tick-Theileria interface.

Tropical theileriosis, caused by the tick-transmitted apicomplexan parasite Theileria annulata, rema...

Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment.

PURPOSE: To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool opt...

Machine Learning Modeling for Predicting Mortality in Pediatric Patients Undergoing Elective Noncardiac Surgery: Comparison to a Regression Model.

BACKGROUND: Perioperative mortality in children is relatively rare; however, accurate preoperative r...

Automating Motivational Interviewing Coding in Adolescent Substance Use Prevention: Human-AI Agreement Study.

BACKGROUND: Motivational interviewing (MI) is widely used in preventive interventions, yet coding MI...

Development and internal validation of an interpretable machine learning model for predicting vancomycin-induced nephrotoxicity in hospitalized children.

INTRODUCTION: Vancomycin is widely used for severe Gram‑positive infections in children, but vancomy...

Machine Learning-Based Prediction of Cycloplegic Refraction Using the Eyerobo Vision Screener: Design-A Cross-Sectional Comparative Device Study.

INTRODUCTION: A cross-sectional comparative device study to compare the Eyerobo Vision Screener (VS)...

Edge-centric brain connectomes reveal two molecularly distinct neurobiological subtypes of adolescent major depressive disorder.

Adolescent major depressive disorder (MDD) is a heterogeneous disorder that complicates diagnosis an...

A Scalable High-Density Microwell Assay for Single-Cell Clonal Expansion Profiling.

Traditional clonogenic assays remain central to evaluating the self-renewal capacity of tumor cells....

MicroRNA profiles as diagnostic tools in pediatric acute lymphoblastic leukemia.

Acute lymphoblastic leukemia (ALL) represents the most common malignancy diagnosed in children, acco...