Latest AI and machine learning research in autism for healthcare professionals.
The rise of personalized diets is due to the emergence of nutrigenetics and genetic tests services. ...
Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophys...
In electronic systems, dynamic random access memory (DRAM) is one of the core modules in the modern ...
Alternative splicing (AS) is a genetically and epigenetically regulated pre-mRNA processing to incre...
Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. ...
Precise phenotype information is needed to understand the effects of genetic and epigenetic changes ...
Determining the factors modulating the genetic diversity of HIV-1 populations is essential to unders...
Genetic analyses of plant root systems require large datasets of extracted architectural traits. To ...
Diagnosis of autism spectrum disorder (ASD) currently relies on behavioral observations because brai...
The aim of this study was to gain insight into how robots can be practically implemented into curren...
MOTIVATION: Loss-of-function genetic variants are frequently associated with severe clinical phenoty...
The majority of children with autism face difficulties in social interaction and communication skill...
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a pers...
This study examined wrist proprioception in a cross-sectional sample of 44 children aged between 8-t...
We present a study aimed at exploring whether a humanoid robot may improve the effectiveness of educ...
Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-occurring an...
Researchers are increasingly attempting to develop and apply innovative technological platforms for ...
Rigidity of thought is considered a main characteristic of persons with Asperger syndrome (AS). This...