Latest AI and machine learning research in autism for healthcare professionals.
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...
BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidi...
INTRODUCTION: Previous studies have indicated that vitamin D deficiency is common in psychiatric pat...
Multivariate pattern analysis techniques have been increasingly used over the past decade to derive ...
Clustering individuals to subpopulations based on genetic data has become commonplace in many geneti...
Atypical neural architecture causes impairment in communication capabilities and reduces the ability...
Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...
Intelligent systems have emerged in our biosphere in different contexts and achieving different leve...
Prior to language, human infants are prolific imitators. Developmental science grounds infant imitat...
Alu elements are the most abundant retrotransposons in the human genome with more than one million c...
Multivariate analysis (MVA) is a class of statistical and pattern recognition techniques that involv...
Magnetic sensors are largely used in several engineering areas. Among them, magnetic sensors based o...
In 2012, Moraglio and coauthors introduced new genetic operators for Genetic Programming, called geo...
A researcher can infer mathematical expressions of functions quickly by using his professional knowl...
A brain consists of numerous distinct neurons arising from a limited number of progenitors, called n...
The structure of genetic interaction networks predicts that, analogous to synthetic lethal interacti...
Machine learning can be used to predict compounds acting synergistically, and this could greatly exp...