Latest AI and machine learning research in autism for healthcare professionals.
Imaging-derived phenotypes (IDPs) developed from medical imaging data, such as magnetic resonance imaging, computed tomography and X-ray scans, are traits that provide quantitative information on anatomical and functional properties of organs and tissues. IDPs are powerful tools for identifying biomarkers and studying disease mechanisms. When coupled with genetic data, IDPs can be analysed as heri...
BACKGROUND: As coronavirus disease 2019 (COVID-19) has transitioned into an endemic phase characterized by sustained transmission and widespread hybrid immunity, understanding region-specific determinants of severe disease remains important for real-world risk stratification and public health planning. METHODS: A retrospective surveillance study was conducted using 5,072 severe acute respiratory s...
BACKGROUND: Transthoracic echocardiography is the first-line test for congenital heart disease (CHD), but accurate targeted triage and lesion subtypin...
Growing evidence indicates that disruption of the microbiota-gut-brain (MGB) axis is a key factor in autism spectrum disorder (ASD), affecting neurode...
BACKGROUND: Prior biological knowledge and phenotype information can help identify disease genes from whole genome/exome sequencing studies, but how b...
Rice seedling salt-tolerance evaluation commonly relies on visual scoring or destructive assays, which are subjective, labor-intensive, and difficult ...
Clinical genetic testing is now the standard of care for cardiomyopathy, guiding risk stratification, clinical management, and earlier diagnosis in fa...
BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease characterized by synovial inflammation, cartilage degradation, and subchondral bone re...
Lineage plasticity has emerged as a fundamental mechanism of adaptive therapy resistance in prostate and bladder cancers, enabling malignant cells to ...
BACKGROUND: Parent-implemented interventions (PIIs) are well established for improving developmental outcomes in autistic children. As evidence has ac...
INTRODUCTION: The constantly evolving nature of diseases has put humanity in a never- ending struggle for survival, adapting to each disease and fight...
Autism spectrum disorder (ASD) affects tens of millions of families worldwide, yet parents confront abundant but unreliable online advice and limited ...
AIMS: The rapid integration of genetics into clinical care and research has outpaced the supply of genetic professionals, creating persistent challeng...
Accurately characterizing genetic ancestry is critical for ensuring reproducibility and fairness in genomic studies and downstream health research. Th...
Most Mendelian diseases lack effective treatments, with current options often limited to symptomatic care rather than addressing the underlying geneti...
Brain imaging genetics generally combines genotype data with brain structure and functional measures to investigate the genetic basis of neurological ...
We introduce a systems-level approach to sensing and computing in which Escherichia coli acts as a living reservoir computer, performing complex infor...
Characterizing in-utero brain development is essential for understanding typical and atypical neurodevelopment. Building on prior spatiotemporal fetal...
Depression arises from dynamic interactions among genetic predisposition, brain alterations, and environmental stressors. Despite genome-wide associat...
Motor imitation impairments are commonly reported in individuals with autism spectrum conditions (ASCs), suggesting that motor imitation could be used...