Pediatrics

Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, t...

Development of potent humanized TNFα inhibitory nanobodies for therapeutic applications in TNFα-mediated diseases.

Tumor necrosis factor-alpha (TNFα) is a key pro-inflammatory cytokine implicated in the pathogenesis...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

A scoping review of digital solutions in diabetes outpatient care: Functionalities and outcomes.

BACKGROUND: Digital interventions are increasingly used in outpatient diabetes care to address growi...

Machine learning-based predictive modeling of depressive symptoms in Chinese adolescents.

BACKGROUND: The aim is to develop prediction models by lifestyles indicators as well as socioeconomi...

Development and external validation of a prediction model for prolonged intensive care unit stay in heart failure patients.

AIMS: Prolonged intensive care unit (ICU) stays in heart failure patients are associated with poor p...

Mapping QTLs for PHS resistance and development of a deep learning model to measure PHS rate in japonica rice.

Rice (Oryza sativa L.) is a staple food for more than half of the global population. Preharvest spro...

[The alliance of cybersecurity and artificial intelligence in digital healthcare: challenges and solutions from the EU CYLCOMED RWD project.].

The availability of health technologies has facilitated improvements in the quality of care, playing...

Development of a Deep-Learning Model for Estimating Newborn Gestational Age via Lumbar Vertebral Segmentation on Plain Radiography.

OBJECTIVE: To develop a deep learning model for estimating newborn gestational age (GA) based on the...

Comparison of dengue, chikungunya, and Zika among children in Nicaragua across 18 years: a single-centre, prospective cohort study.

BACKGROUND: Dengue, chikungunya, and Zika are diseases of major human concern. Differential diagnosi...

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 20.

In this update, we examine Canada's Drug Agency position statement on artificial intelligence in evi...

Impact of environmental pollution on human health: Investigating the role of Polycyclic Aromatic Hydrocarbons in pediatric osteosarcoma.

BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs), widely emitted through industrial processes and...

Artificial Intelligence for Tumor [F]FDG PET Imaging: Advancements and Future Trends - Part II.

The integration of artificial intelligence (AI) into [F]FDG PET/CT imaging continues to expand, offe...

Leveraging machine learning and single-cell RNA sequencing strategies to develop a risk prognosis scoring based on liquid-liquid phase separation feature genes in pediatric hepatoblastoma.

BACKGROUND: Considerable evidence highlights the intricate association between liquid-liquid phase s...

Identification of inflammation-related biomarkers and therapeutic targets for neurogenic bladder fibrosis via multi-omics analysis.

Inflammatory responses play a crucial role in the progression of pediatric neurogenic bladder (NB)-a...

Dosing prediction of valproic acid in pediatric patients with epilepsy: population pharmacokinetic model or machine learning model?

PURPOSE: This study develops and compares population pharmacokinetics (PopPK) models and machine lea...

Exploring advanced deep learning approaches in cardiac image analysis: A comprehensive review.

BACKGROUND: Cardiac image analysis plays an important role in detecting and categorizing cardiovascu...

Made in China 2025: Artificial intelligence intervention and urban green economy development.

Against the backdrop of the profound adjustment of the global industrial structure and the rise of t...

How does artificial intelligence accelerate the energy transition? Learning from empirical experience in OECD countries.

The need for an energy transition is increasing due to technological advancements and rapid economic...

Harnessing Generative Artificial Intelligence in Pediatric Anesthesia: Enhancing Learning, Patient Care, and Family Communication.

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...