Latest AI and machine learning research in autism for healthcare professionals.
A robust computational technique for model order reduction (MOR) of multi-time-scale discrete system...
Although the prevalence of autism spectrum disorder (ASD) has risen sharply in the last few years re...
Using a pretest-posttest design, Srinivasan, et al. (2013 ) found that a period of interaction betwe...
We propose an automated framework for predicting gestational age (GA) and neurodevelopmental maturat...
Multivariate nature of drug loaded nanospheres manufacturing in term of multiplicity of involved fac...
To facilitate precision medicine and whole-genome annotation, we developed a machine-learning techni...
UNLABELLED: Annotating genetic variants, especially non-coding variants, for the purpose of identify...
We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma...
Machine learning, particularly kernel methods, has been demonstrated as a promising new tool to tack...
Activity recognition of an elderly person can be used to provide information and intelligent service...
Feature selection is an important step in many pattern recognition systems aiming to overcome the so...
Road traffic injuries (RTIs) are realised as a main cause of public health problems at global, regio...
The aim of this research was to develop a low price and environmentally friendly adsorbent with abun...
The unknown pathogenic mechanisms of Alzheimer's disease (AD) make treatment challenging. Neuroimagi...
Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platf...
Synaptic increase is a common phenomenon in the brain of autism spectrum disorder (ASD). However, th...
Autism spectrum disorder (ASD) is characterized by deficits in social communication and repetitive b...
BACKGROUND: Hair density traits, including follicular unit density (FUD) and hairs per follicular un...
Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...
Lead optimization in drug discovery faces the dual challenge of maintaining structural diversity whi...
Recent advances in human genomics have revealed that missense mutations in a single protein can lead...