Pediatrics

On the usage of artificial intelligence for identifying main attributes and predicting neonatal sepsis.

During the neonatal period, newborns are more susceptible to developing conditions and diseases due to their fragility of the transition and adaptation to the extrauterine environment. Neonatal sepsis is one of the leading causes of morbidity and mortality in newborns, particularly among preterm and low birth weight infants, requiring early diagnosis to reduce complications and deaths. In this wor...

Inflammatory-neurodegenerative crosstalk in pediatric severe traumatic brain injury: a multi-domain plasma proteomic study.

BACKGROUND: Pediatric severe traumatic brain injury (sTBI) remains a leading cause of death and long-term disability, yet its molecular characterization is incomplete. Single-biomarker approaches fail to capture the biological heterogeneity underlying variable clinical outcomes. Comprehensive proteomic profiling across neuropathologic domains to identify clinical endotypes has not been performed i...

Toward precision prevention: machine learning-identified risk and protective factors for distinct bullying victimization types among Chinese adolescents.

BACKGROUND: Bullying victimization among Chinese adolescents manifests in distinct types (verbal, physical, relational, cyberbullying) with unique adv...

Digital Media Use and Psychosocial Health among Adolescent Boys and Young Men.

PURPOSE OF REVIEW: To synthesize recent literature highlighting how and why adolescent boys and young men may face unique media-related psychosocial h...

Towards sustainable serum-free media development from alternative sources for cultivated meat.

The economic feasibility and scalability of cultivated meat (CM) is critically hindered by the high manufacturing costs, particularly the cost associa...

Wireless, skin-interfaced multimodal sensing system for continuous psychophysiological monitoring-A wearable polygraph device.

Accurate, continuous monitoring of psychophysiological states is central to understanding stress and autonomic dysfunction across diverse medical cont...

EXPRESS: Artificial Intelligence in Diabetes Care: Toward Precision Diagnosis and Personalized Management.

AimsDiabetes mellitus is a global health challenge requiring innovative solutions for early diagnosis, personalized treatment, and ongoing management....

Parents' knowledge, attitudes, and concerns regarding the use of artificial intelligence in pediatric medicine: a cross-sectional study.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in pediatric healthcare, with the potential to improve diagnostic and treatment accur...

Prediction of postoperative desaturation and bradycardia in neonates undergoing laparoscopic inguinal hernia repair: a retrospective cohort study.

BACKGROUND: Ex-premature infants have a high risk of postoperative apnea and bradycardia. This study aimed to develop a predictive model for postopera...

On the Prediction of pDNA Productivity Across Diverse Bioprocesses Using Ensemble Hybrid Models.

The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal ...

Predicting mortality risk in pediatric severe pneumonia using a CNN-BiLSTM model with dynamic clinical indicators.

BACKGROUND: Severe pneumonia is a leading cause of mortality in children under 5 years old, and there is currently a lack of reliable biomarkers for e...

Maternal genetic variants associated with aneuploid conception: a narrative review.

BACKGROUND: Human aneuploid conception, a leading cause of infertility, pregnancy loss, and congenital disorders (e.g. Down's syndrome), arises from e...

A Book Review of 'Handbook of Children and Screens: Digital Media, Development, and Well-Being From Birth Through Adolescence' Edited by Dimitri A. Christakis and Laurent Hale.

Dimitri A. Christakis and Lauren Hale's Handbook of Children and Screens (2025) examines the complex relationship between digital media use and childr...

Two decades of robotic pediatric urology: a single-surgeon evolution from adoption to excellence.

The establishment of a Center of Excellence in robotic pediatric urology is a deliberate, phased evolution-from individual pioneering procedures to an...

Equitable Digital Frailty Screening for Marginalized Older Adults Using Audio Computer-Assisted Self-Interview: Collaborative Development Guide and User Testing Study.

BACKGROUND: Older adults facing social or structural marginalization for reasons such as lower literacy, digital exclusion, financial constraints, res...

Sensory nerves protect against preclinical tendinopathic changes through FGF1 signaling.

Chronic tendinopathy is typified by persistent tendon-associated pain, transmitted by local nociceptive neurons. However, the regulatory function of s...

Transforming Pediatric Care Through AI: Bridging the Digital Divide in Health Informatics.

Health informatics and artificial intelligence (AI) technologies are increasingly influencing pediatric health care delivery across diverse health sys...

Global patterns of air pollution-attributable neonatal preterm birth mortality rates: a machine learning analysis using LSTM autoencoder and K-means clustering.

Neonatal preterm birth is a leading cause of neonatal mortality worldwide, and maternal exposure to air pollution is increasingly recognized as a cont...

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. Ho...

Clinically-applicable prediction of hospital stay and patient similarity retrieval in paediatric cardiology using machine learning.

Paediatric cardiology presents challenges due to the rarity and complexity of conditions like congenital heart disease. Using retrospective electronic...