Autism

Screening of Demethylation-related Biomarkers and Exploration of Regulatory Mechanisms in Esophageal Cancer Patients Based on Machine Learning and Mendelian Randomization.

INTRODUCTION: The aggressive cancer known as Esophageal Squamous Cell Carcinoma (ESCC) has a dismal prognosis. Epigenetic changes such as demethylation have a significant impact on ESCC development and progression. METHODS: WGCNA and differential expression analysis of GEO datasets identified tumorrelated demethylation genes. Random Survival Forest (RSF), univariate Cox regression, and LASSO-Cox m...

Artificial Intelligence for Enhancing Emotion Expression in Augmentative and Alternative Communication Systems: A Preliminary Study Including Children Both With and Without Autism.

PURPOSE: Artificial intelligence is increasingly being explored in augmentative and alternative communication (AAC) to support personalized and responsive communication. Integrating emotion recognition into AAC systems may help users convey emotion content in real time, enhancing social interaction and communication quality. METHOD: This preliminary study utilized DeepFace, a facial emotion recogn...

Multiobjective blood pump impeller optimization with three response surface methods and prototype stator casting for an integrated motor pump.

Cardiovascular diseases are a leading cause of mortality worldwide; rotary blood pumps are a key therapy. Prior optimization studies often treated few...

Emerging Applications of Artificial Intelligence in Pediatric Care.

Artificial intelligence (AI) technologies such as machine learning (ML), deep learning (DL), predictive analytics and other tools are rapidly changing...

Brain neuromarkers predict self- and other-related mentalizing across adult, clinical, and developmental samples.

Human social interactions rely on the ability to reflect on one's own and others' internal states and traits-a process known as mentalizing. Impaired ...

Home-based eye tracking for early autism screening: a scoping review of approaches, evidence, and implementation challenges.

BACKGROUND: Early identification of autism spectrum disorder (ASD) is essential for improving developmental outcomes but remains challenging due to di...

Language network functional connectivity in infancy predicts developmental language trajectories.

Although developmental language delays affect approximately 10% of children in the general population, the neurodevelopmental mechanisms that support ...

Infant Brain Age Estimation With T1w/T2w Ratio MRI: A Myelination-Aware Deep Learning Approach.

BACKGROUND: Brain age estimation provides a noninvasive MRI biomarker of neurodevelopment. In infancy, rapid regionally ordered myelination reflects b...

Understanding resistance in glioblastoma: insights into personalized and targeted therapeutic strategies.

Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despite combined treatments, including surgical removal...

Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese Population.

BACKGROUND: GWASs (genome-wide association studies) have advanced our understanding of coronary artery disease (CAD) genetics and enabled the developm...

Longitudinal serum uric acid transition patterns and their clinical, genetic, and dietary determinants: prospective prediction of incident hyperuricemia and gout in a Korean population-based cohort.

BACKGROUND: Longitudinal serum uric acid (SUA) transition patterns and their clinical, genetic, and dietary determinants remain poorly characterized. ...

Profiling cognition and brain metabolism in amyotrophic lateral sclerosis and frontotemporal dementia.

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are described as a disease continuum, given their shared clinical, genetic and p...

Trends in Cleft Palate Incidence in the Era of Prenatal Ultrasonography and Early Detection.

ObjectiveTo evaluate whether temporal changes in prenatal detection and North Carolina abortion rates are associated with live-birth cleft palate (CP ...

Epigenetic and genetic insights for tailored therapeutic strategies in multiple sclerosis.

Multiple sclerosis (MS) is a complex neurological disorder with inflammation, demyelination, and neurodegeneration in the CNS. Disease-modifying thera...

Genomic and socioeconomic drivers of antimicrobial resistance forecast to 2050.

Antimicrobial resistance (AMR) is rising worldwide, and a better understanding of the genetic and socioeconomic determinants tied to it may establish ...

Genetic architecture of white matter microstructure captured by unsupervised deep representation learning of fractional anisotropy maps.

Fractional anisotropy (FA) from diffusion MRI is a widely used marker of white matter (WM) integrity, but conventional FA-based genetic studies typica...

An integrated machine learning and mendelian randomization approach identifies SERPING1 as a prognostic biomarker associated with CD8 + T-cell infiltration in DLBCL.

BACKGROUND: SERPING1, which encodes the C1 inhibitor (C1-INH) of the complement system, and plays a key regulator in regulating inflammatory responses...

Performance comparison of a neuro-symbolic large language model system versus conventional AI models and human experts in cholangitis management.

BACKGROUND: Large language models (LLMs) have shown promising results in medical decision support; Background: Large language models (LLMs) have demon...

Unraveling 'F' factor: towards a genetic-clinical framework for the musculoskeletal-heart crosstalk in metabolic aging.

BACKGROUND: The rising co-occurrence of cardiometabolic diseases and musculoskeletal degeneration poses a critical challenge to healthy aging, yet the...

Artificial Intelligence Methods in Early Detection of Autism Spectrum Disorder: A DSM-5 Criterion-Based Systematic Review.

Can Artificial Intelligence (AI) revolutionize early detection of Autism Spectrum Disorder (ASD) by offering a more objective alternative to the subje...