Pediatrics

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 socioeconomic status to predict the risk of depressive symptoms in adolescents, and to rank and explain these predictors.

Call category classification of the isolation-induced ultrasonic vocalizations emitted by BTBR TItpr3/J mouse pups exposed to different perinatal diets.

Autism spectrum disorder (ASD) is characterized by deficits in social communication and repetitive behaviors/restricted interests that may be diagnosed as early as 2 years of age. This suggests that the pathology underlying the disorder is present during early development, including gestation. This early developmental period is affected by maternal nutrition. The effects of a perinatal high fat di...

A heterogeneity analysis of health-related quality of life in early adults born very preterm or very low birthweight across the sociodemographic spectrum.

Preterm birth and very low birthweight (VP/VLBW) are associated with poorer health-related quality of life (HRQoL) outcomes extending into adulthood, ...

Evaluation of synthetic images derived from a neural network in pediatric brain magnetic resonance imaging.

UNLABELLED: Synthetic MRI (SyMRI) is a technique used to estimate tissue properties and generate multiple MR sequence contrasts from a single acquisit...

Deep learning-driven hyperspectral imaging for real-time monitoring and growth modeling of psychrophilic spoilage bacteria in chilled beef.

Owing to the unsound cold chain system in China, chilled beef's quality would be affected by psychrophilic bacteria, resulting in quality deterioratio...

Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B production in vitro.

Aspergillus niger is an important species in the fungal community of many foods and is one of the most significant microorganisms used in biotechnolog...

Deep learning models link local cellular features with whole-animal growth dynamics in zebrafish.

Animal growth is driven by the collective actions of cells, which are reciprocally influenced in real-time by the animal's overall growth state. Where...

Exosomal Gene Biomarkers in Osteosarcoma: Mifepristone as a Targeted Therapeutic Revealed by Multi-Omics Analysis.

Osteosarcoma (OS) is an aggressive bone cancer that mainly occurs in children and adolescents. OS patients are mainly treated with neoadjuvant chemoth...

Portable Biomechanics Laboratory: Clinically Accessible Movement Analysis from a Handheld Smartphone

The way a person moves is a direct reflection of their neurological and musculoskeletal health, yet it remains one of the most underutilized vital s...

Artificial intelligence or sleep experts: comparing polysomnographic sleep staging in children and adolescents.

STUDY OBJECTIVES: The manual annotation of polysomnography (PSG) hypnograms is difficult and time-consuming. U-Sleep is an alternative, fast, and publ...

Artificial intelligence in pediatric sleep staging: a new era or a complementary tool?

Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment

In pediatric orthodontics, accurate estimation of growth potential is essential for developing effective treatment strategies. Our research aims to ...

PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning

Pediatric medical imaging presents unique challenges due to significant anatomical and developmental differences compared to adults. Direct applicat...

Modeling and Reversing Brain Lesions Using Diffusion Models

Brain lesions are abnormalities or injuries in brain tissue that are often detectable using magnetic resonance imaging (MRI), which reveals structur...

LLMs are Introvert

The exponential growth of social media and generative AI has transformed information dissemination, fostering connectivity but also accelerating the...

Teaching Sustainable Creative Technologies

Artists and especially new media artists contribute to public perceptions and adoption of new technologies through their own use of emerging media t...

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains

The recent proliferation of photorealistic AI-generated images (AIGI) has raised urgent concerns about their potential misuse, particularly on socia...

Prediction of Adolescent Suicide Attempt by Integrating Clinical, Neurocognitive and Geocoded Neighborhood Environment Data.

BACKGROUND AND HYPOTHESIS: Suicide attempt is a complex behavior influenced by a combination of factors including clinical, neurocognitive, and enviro...

Large Language Models' Varying Accuracy in Recognizing Risk-Promoting and Health-Supporting Sentiments in Public Health Discourse: The Cases of HPV Vaccination and Heated Tobacco Products

Machine learning methods are increasingly applied to analyze health-related public discourse based on large-scale data, but questions remain regardi...

AI-VaxGuide: An Agentic RAG-Based LLM for Vaccination Decisions

Vaccination plays a vital role in global public health, yet healthcare professionals often struggle to access immunization guidelines quickly and ef...