Latest AI and machine learning research in autism for healthcare professionals.
Atypical neural architecture causes impairment in communication capabilities and reduces the ability of representing the referential statements of other people in children with autism. During a scenery of "speaker-listener" communication, we have analyzed verbal and emotional expressions in neurotypical children (n = 20) and in children with autism (n = 20). The speaker was always a child, and the...
Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue to rise in prevalence, together affecting >10% of today's pediatric population, the methods of diagnosis remain subjective, cumbersome and time intensive. With gaps upward of a year between initial suspicion and diagnosis, valuable time where treatments and behavioral interventions could be applied...
Intelligent systems have emerged in our biosphere in different contexts and achieving different levels of complexity. The requirement of communication...
Prior to language, human infants are prolific imitators. Developmental science grounds infant imitation in the neural coding of actions, and highlight...
Alu elements are the most abundant retrotransposons in the human genome with more than one million copies. Alu repeats have been reported to participa...
Multivariate analysis (MVA) is a class of statistical and pattern recognition techniques that involve the processing of data that contains multiple me...
Magnetic sensors are largely used in several engineering areas. Among them, magnetic sensors based on the Giant Magnetoimpedance (GMI) effect are a ne...
In 2012, Moraglio and coauthors introduced new genetic operators for Genetic Programming, called geometric semantic genetic operators. They have the v...
The structure of genetic interaction networks predicts that, analogous to synthetic lethal interactions between non-essential genes, combinations of c...
Smart environments and ubiquitous computing technologies hold great promise for a wide range of real world applications. The medical community is part...
BACKGROUND: The gap between a large growing number of genetic tests and a suboptimal clinical workflow of incorporating these tests into regular clini...
The use of Fourier Transform-Infrared Spectroscopy (FT-IR) in conjunction with Artificial Neural Network software NeuroDeveloper™ was examined for the...
BACKGROUND: Autism is a multifactorial condition in which a single risk factor can unlikely provide comprehensive explanation for the disease origin. ...
OBJECTIVE: An up-to-date review of recent literatures and a comprehensive reference for informed consent specific to ASD complications is lacking. The...
Social robotics could be a promising method for Autism Spectrum Disorders (ASD) treatment. The aim of this article is to carry out a systematic litera...
Blood-brain barrier (BBB) is a highly complex physical barrier determining what substances are allowed to enter the brain. Support vector machine (SVM...
The development of quantitative structure-retention relationships (QSRR) aims at constructing an appropriate linear/nonlinear model for the prediction...
Anastrozole is an aromatase inhibitor (AI) used as adjuvant therapy for breast cancer. Anastrozole is subject to direct glucuronidation catalyzed by U...
One of the core features of autism spectrum disorder (ASD) is impaired reciprocal social interaction, especially in processing emotional information. ...
Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitate...