Latest AI and machine learning research in autism for healthcare professionals.
The "Reading the Mind in the Eyes" test (Eyes test) is an advanced test of theory of mind. Typical s...
The correct classification of individuals is extremely important for the preservation of genetic var...
Volumetric assessments of the hippocampus and other brain structures during childhood provide useful...
INTRODUCTION: Pleiotropy describes the genetic effect of a single gene on multiple phenotypic traits...
Induced pluripotent stem cells (iPSCs) are an essential tool for modeling how causal genetic variant...
OBJECTIVE: Third-generation aromatase inhibitors (AI) are potent suppressors of aromatase activity. ...
BACKGROUND: Resting-state functional magnetic resonance imaging studies examining low frequency fluc...
The objective of this study was to evaluate the efficiency of artificial neural networks (ANNs) for ...
Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is inve...
Phenotypes are the observable characteristics of an organism arising from its response to the enviro...
BACKGROUND: People with an autistic spectrum disorder (ASD) display a variety of characteristic beha...
BACKGROUND: Major psychiatric disorders are increasingly being conceptualized as 'neurodevelopmental...
This study was performed to optimize the formulation of polymer-lipid hybrid nanoparticles (PLN) for...
Similar to intelligent multicellular neural networks controlling human brains, even single cells, su...
BACKGROUND: We performed a retrospective analysis to evaluate whether a postoperative chemotherapy s...
Following the rapid development of social media, sentiment analysis has become an important social m...
The use of robots in therapy for children with autism spectrum disorder (ASD) raises issues concerni...
BACKGROUND: Primary sclerosing cholangitis (PSC) patients are at increased risk of biliary tract can...
Despite consensus on the neurological nature of autism spectrum disorders (ASD), brain biomarkers re...
In the multidisciplinary field of developmental cognitive neuroscience, statistical associations bet...
Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selecti...