Pediatrics

Physics-based inverse modeling of battery degradation with Bayesian methods.

To further improve Lithium-ion batteries (LiBs), a profound understanding of complex battery process...

Artificial intelligence in pediatric intensive care: unlocking integrated monitoring for autonomic nervous system dysregulation.

as a favorable prognostic biomarker in pediatric osteosarcoma: an integrated analysis of machine learning, bioinformatics, and validation experiments.

BACKGROUND: Osteosarcoma (OS), the most common pediatric bone tumor, faces challenges with frequent ...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Comparison of ChatGPT-4, Microsoft Copilot, and Google Gemini for Pediatric Ophthalmology Questions.

PURPOSE: To evaluate the success of Chat Generative Pre-trained Transformer (ChatGPT; OpenAl), Googl...

Deep Learning Auto-segmentation of Diffuse Midline Glioma on Multimodal Magnetic Resonance Images.

Diffuse midline glioma (DMG) H3 K27M-altered is a rare pediatric brainstem cancer with poor prognosi...

Perinatal responsibility in a fragmented world: reflections from the 2024 international academy of perinatal medicine New York meeting.

This editorial introduces the Special Issue of the Journal of Perinatal Medicine dedicated to the 20...

A Bibliometric Review of Person-Centered Care Research 2010-2024.

: Person-centered care (PCC) has become a pivotal concept in healthcare. At present, no published st...

Can ChatGPT Counter Vaccine Hesitancy? An Evaluation of ChatGPT's Responses to Simulated Queries from the General Public.

Vaccines have eradicated deadly diseases, yet vaccine hesitancy persists, leading to reduced uptake...

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understan...

Optimizing MRI sequence classification performance: insights from domain shift analysis.

BACKGROUND: MRI sequence classification becomes challenging in multicenter studies due to variabilit...

Drug repurposing to identify potential FDA-approved drugs targeting three main angiogenesis receptors through a deep learning framework.

Tumor cell survival depends on the presence of oxygen and nutrients provided by existing blood vesse...

SLC35A2 loss-of-function variants affect glycomic signatures, neuronal fate and network dynamics.

SLC35A2 encodes a UDP-galactose transporter essential for glycosylation of proteins and galactosylat...

A pediatric ECG database with disease diagnosis covering 11643 children.

Electrocardiogram (ECG) is a common non-invasive diagnostic tool for cardiovascular diseases. Adequa...

A dataset for quality evaluation of pelvic X-ray and diagnosis of developmental dysplasia of the hip.

Developmental Dysplasia of the Hip (DDH) stands as one of the preeminent hip disorders prevalent in ...

Comment on Dalboni da Rocha et al. Artificial Intelligence for Neuroimaging in Pediatric Cancer. 2025, , 622.

As researchers actively working in the field of pediatric neuroimaging and artificial intelligence, ...

Reply to Keles et al. Comment on "Dalboni da Rocha et al. Artificial Intelligence for Neuroimaging in Pediatric Cancer. 2025, , 622".

We thank the readers for their thoughtful reading of our review, "Artificial Intelligence for Neuroi...

Novel bioparameters derived from bioimpedance measurements for accurate prediction of weight status in infant-juvenile individuals: A regression analysis.

In this study, a linear support vector machine regression model was used to explore the correlation ...

Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure.

BACKGROUND: Heart failure (HF) in children under five years of age carries a high risk of in-hospita...

Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing.

Tuberculosis (TB) kills more people annually than any other pathogen. Resistance is an ever-increasi...

Sex-related differences and associated transcriptional signatures in the brain ventricular system and cerebrospinal fluid development in full-term neonates.

BACKGROUND: The cerebrospinal fluid (CSF) is known to serve as a unique environment for neurodevelop...