Pediatrics

Hybrid Dynamic Modelling With Gaussian Process Regression for Intensified Fed-Batch CHO Cell Culture Processes.

The increasing complexity of cell culture processes and sustained drive towards efficient, scalable bio-manufacture accentuate the need for advanced process modelling techniques. Hybrid models, which integrate the flexibility of machine learning algorithms within the structure of material balances, offer a promising route towards digital bioprocess development. In this study, a hybrid dynamic mode...

DUSP9 Regulates Hepatoblastoma Progression With Implications for Diagnosis and Targeted Therapy.

This study investigated the mechanistic role of DUSP9 in hepatoblastoma (HB) development and progression to provide new insights into the diagnosis and treatment of pediatric HB. Pediatric HB mRNA expression data were obtained from the GEO database. Differentially expressed genes (DEGs) between patients with metastatic and non-metastatic HB were analyzed using the R software, followed by a functio...

Building a Natural Language Processing Augmented Information Support System to Enhance Supportive Care for Patients With Prostate Cancer and Families: User-Centered, Iterative Approach.

BACKGROUND: Patients with prostate cancer and their families face significant challenges during transitions from diagnosis to treatment and posttreatm...

Evaluation of e-health interventions to strengthen nursing care in the neonatal intensive care unit: A systematic review.

PURPOSE: This review explores how e-health interventions are utilized within neonatal intensive care units to support nursing practice, with particula...

Study protocol of the Speech of children After Neonatal Encephalopathy (SANE): a single-centre prospective cohort study.

INTRODUCTION: Language development is a key determinant of academic achievement and psychosocial outcome. Due to the therapeutic hypothermia procedure...

Multiparametric MRI radiomics for noninvasive risk stratification of pediatric neuroblastoma: a pilot study.

Neuroblastoma is the most common extracranial solid tumor in children, with risk stratification guiding therapy and prognosis. Although current risk s...

Physician burnout in rheumatology: are medical scribes part of the solution?

Retention of highly qualified physicians remains a critical priority in rheumatology and the broader medical field due to persistent physician shortag...

Explainable Survival Modeling in Pediatric Hematopoietic Stem Cell Transplantation Using Landmark-Based Machine Learning.

BACKGROUND: Machine learning survival models can outperform conventional Cox regression in heterogeneous pediatric HSCT cohorts, but clinical adoption...

Insulin like growth factor and cytokine signalling predict future cognitive impairment in Parkinson's disease.

Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). However, the onset and severity of cognitive impair...

Ethical aspects of artificial intelligence use in neonatal intensive care units: a scoping review.

UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues associated with artificial intelligence (AI) in neo...

Bone age estimation from chest radiographs using deep neural networks: a proof-of-concept study.

BACKGROUND: Bone age (BA) is the gold standard for skeletal maturity assessment but is not routinely incorporated into pediatric growth evaluation wor...

Beyond Accuracy: A Mixed-Methods Audit of Chain-of-Thought Failures in LLM-Based COVID-19 Vaccine Stance Detection.

This mixed-methods study assessed whether reasoning-enabled large language models (LLMs) can classify stances towards COVID-19 vaccination on X (forme...

Biocementation shows a three-dimensional geometry dependence in microfluidic pore networks mapped by deep-learning segmentation.

Microbially induced calcium carbonate precipitation (MICP) can transform granular media into cohesive, load-bearing materials, yet pore-scale design r...

Closing the Health Policy Implementation Gap With Artificial Intelligence.

IMPORTANCE: Health care policies often fail to achieve their goals due to implementation challenges attributable to workforce constraints, fragmented ...

Metabolomics predict treatment response to vedolizumab in pediatric IBD: results from the prospective VedoKids cohort study.

BACKGROUND AND AIM: Metabolites produced through host-microbe interactions may help associate metabolomic signatures with therapy response. We aimed t...

Global observational analysis of the Quality of Care Index (QCI) for protein-energy malnutrition from 1990 to 2021.

Protein-energy malnutrition (PEM) remains a critical global health challenge, and the quality of care for PEM remains a key focus in the current publi...

Left Atrial Myopathy Across the Spectrum of Pediatric Heart Disease: Imaging, Mechanobiology, and Clinical Consequences.

Left atrial (LA) function has emerged as a critical determinant of cardiovascular performance and disease progression across the spectrum of pediatric...

Tissue-specific metabolite profiling reveals diverse metabolic response under N deficiency and high temperature stress in soybean.

INTRODUCTION: Climate change has increased the incidence of compound stresses, including the co-occurrence of nitrogen deficiency (-N) and high temper...

Modernizing Growth Promotion Testing using APAS® Independence: Poster Presented at PDA Week 2026.

Agar-based methods remain a cornerstone of environmental monitoring in cleanroom environments due to their unmatched ability to detect viable microorg...

Multi-modal ensemble learning prediction of anti-TNF treatment response in pediatric patients with Crohn's disease using clinical, radiomic, and deep learning MR enterography features.

BACKGROUND: Anti-tumor necrosis factor (TNF) medical therapy is a major advancement for Crohn's disease (CD) management, yet many patients fail to res...