Latest AI and machine learning research in autism for healthcare professionals.
We propose BrainNetCNN, a convolutional neural network (CNN) framework to predict clinical neurodeve...
Machine learning approaches have been widely used for the identification of neuropathology from neur...
Genetic skeletal disorders (GSD) involving the skeletal system arises through disturbances in the co...
To find genetic association between complex diseases and phenotypic traits, one important procedure ...
MOTIVATION: Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders with clinica...
Artificial neural networks (ANNs) are powerful computational tools that are designed to replicate th...
The objectives of this study were to use mixed models to confirm the presence of genetic variability...
Deficits in the visual processing of faces in autism spectrum disorder (ASD) individuals may be due ...
Organic matters (OMs) and their oxidization products often influence the fate and transport of heavy...
As one of the most popular statistical and machine learning models, logistic regression with regular...
Predicting individual quantitative trait phenotypes from high-resolution genomic polymorphism data i...
There has been remarkable progress in identifying the causes of genetic conditions as well as unders...
Recent resting-state functional MRI investigations have demonstrated that much of the large-scale fu...
BACKGROUND: Machine learning (ML) provides novel opportunities for human behavior research and clini...
Ecological systems are known to exchange genetic material through animal species migration and seed ...
The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has been repe...
Given genomic variation data from multiple individuals, computing the likelihood of complex populati...
This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In t...
OBJECTIVE: Clinical trials investigating drugs that target specific genetic alterations in tumors ar...
The unified theory of reinforcement has been used to develop models of behavior over the last 20 yea...
Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...