Latest AI and machine learning research in autism for healthcare professionals.
In today's society, autism spectrum disorder (ASD) is a common neurological disorder that affects a person's behavior and communication. Hence, an early ASD prediction is essential for improving the lifecycle of ASD patients. Recently, many works have been deployed for diagnosing ASD using the electroencephalogram (EEG) and magnetic resonance imaging (MRI). But they are inefficient owing to the ir...
OBJECTIVE: Preeclampsia, the most severe hypertensive disorder of pregnancy, is the leading cause of maternal death. While genetic factors are recognized as significant contributors to the susceptibility to preeclampsia, which poses varying risks in diverse ethnic groups, the discovery of genetic loci has been limited. The objective of this research is to investigate the genetic predisposition to ...
The authors analyze the 2024 US Court Case concerning a civil action brought by the mother of an American adolescent affected by Asperger syndrome who...
INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains challenging because many patients exhibit primary...
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disorder leading to kidney failure. Recent advancements in arti...
BACKGROUND: Prenatal exposure to particulate matter has been investigated as a potential environmental factor for autism spectrum disorder (ASD), but ...
The brain morphological connectome derived from structural MRI reflects inter-regional morphological relationships, providing a powerful representatio...
BACKGROUND: Cerebral palsy (CP) is a prevalent neurodevelopmental disorder in children, often leading to long-term motor impairments. Rehabilitation r...
Antigenically diverse pathogens such as coronaviruses pose substantial global health threats, highlighting the need for broad-spectrum vaccines. Here,...
Autism Spectrum Disorder (ASD) classification from neuroimaging data poses significant challenges due to high data heterogeneity and the complexity of...
Recent advances in data registration techniques have enabled researchers to analyze high-dimensional, low sample size (HDLSS) data, which poses challe...
Atypical gaze patterns are consistently reported in autism, reflecting differences in social attention and interest. Gaze-tracking paradigms provide a...
Antifungal heteroresistance has emerged as a clinical challenge across diverse species. In Candida glabrata, however, it has rarely been reported. Her...
High-angular resolution diffusion imaging (HARDI) is an advanced method for characterizing brain microstructure and function. However, HARDI is time-c...
AIM: Prenatal exposure to air pollutants has been linked to developmental delays in early childhood. This study investigated the association between p...
Septic cardiomyopathy is a common early complication of sepsis, and its underlying mechanisms remain incompletely understood. In this study, we integr...
How diffusible neuromodulators control neural circuit assembly remains a key open question in neuroscience. While nitric oxide (NO) is known to regula...
Alzheimer's disease (AD) is a highly heritable neurodegenerative disorder whose genetic architecture remains incompletely understood, particularly wit...
While falling costs have expanded access to genomic sequencing, clinical utility is frequently hindered by the challenge of interpreting complex genet...
Autistic youth exhibit wide variability in emotional and behavioral challenges, yet few studies have identified meaningful subgroups based on these pr...