Latest AI and machine learning research in autism for healthcare professionals.
The main goal of this work is to automatically segment colorectal tumors in 3D T2-weighted (T2w) MRI...
PURPOSE: Despite the successful progress next-generation sequencing technologies has achieved in dia...
Current approaches to predicting a cardiovascular disease (CVD) event rely on conventional risk fact...
Within aquaculture industries, selection based on genomic information (genomic selection) has the pr...
In the field of cancer genomics, the broad availability of genetic information offered by next-gener...
BACKGROUND: Individuals with autism spectrum disorder (ASD) tend to show deficits in engaging with h...
This paper deals with the finite-horizon quantized H state estimation problem for a class of discret...
BACKGROUND: Previous automated EEG-based diagnosis of autism spectrum disorders (ASD) using various ...
Automatic algorithms for disease diagnosis are being thoroughly researched for use in clinical setti...
Syndromic genetic conditions, in aggregate, affect 8% of the population. Many syndromes have recogni...
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts...
The objective of this study was to test statistical features from the electroencephalogram (EEG) rec...
This paper describes the INSIDE system, a networked robot system designed to allow the use of mobile...
BACKGROUND: A range of rare and common genetic variants have been discovered to be potentially assoc...
Effective social communication relies, in part, on accurate nonverbal expression of emotion. To eval...
The isolated type of orofacial cleft, termed non-syndromic cleft lip with or without cleft palate (N...
Despite significant recent advances in molecular genetics and neuroscience, behavioral ratings based...
Although much research has been undertaken, the spatial patterns, developmental course, and sexual d...
BACKGROUND AND AIMS: Combined probiotic and selenium supplementation may improve Alzheimer's disease...
Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in...
Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in ele...