Neurology

Autism

Latest AI and machine learning research in autism for healthcare professionals.

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PERSON-Personalized Expert Recommendation System for Optimized Nutrition.

The rise of personalized diets is due to the emergence of nutrigenetics and genetic tests services. ...

Impressions of Humanness for Android Robot may Represent an Endophenotype for Autism Spectrum Disorders.

Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophys...

Design of dynamic genetic memory.

In electronic systems, dynamic random access memory (DRAM) is one of the core modules in the modern ...

Deep learning of the splicing (epi)genetic code reveals a novel candidate mechanism linking histone modifications to ESC fate decision.

Alternative splicing (AS) is a genetically and epigenetically regulated pre-mRNA processing to incre...

Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. ...

DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records.

Precise phenotype information is needed to understand the effects of genetic and epigenetic changes ...

Impact of Clinical Parameters in the Intrahost Evolution of HIV-1 Subtype B in Pediatric Patients: A Machine Learning Approach.

Determining the factors modulating the genetic diversity of HIV-1 populations is essential to unders...

Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies.

Genetic analyses of plant root systems require large datasets of extracted architectural traits. To ...

Distributed Intrinsic Functional Connectivity Patterns Predict Diagnostic Status in Large Autism Cohort.

Diagnosis of autism spectrum disorder (ASD) currently relies on behavioral observations because brai...

How to Implement Robots in Interventions for Children with Autism? A Co-creation Study Involving People with Autism, Parents and Professionals.

The aim of this study was to gain insight into how robots can be practically implemented into curren...

When loss-of-function is loss of function: assessing mutational signatures and impact of loss-of-function genetic variants.

MOTIVATION: Loss-of-function genetic variants are frequently associated with severe clinical phenoty...

Feasibility of using sphero in rehabilitation of children with autism in social and communication skills.

The majority of children with autism face difficulties in social interaction and communication skill...

Robotic set-up to quantify hand-eye behavior in motor execution and learning of children with autism spectrum disorder.

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a pers...

The effects of age and amplitude on wrist proprioceptive acuity.

This study examined wrist proprioception in a cross-sectional sample of 44 children aged between 8-t...

Exploring the Use of a Humanoid Robot to Engage Children with Autism Spectrum Disorder (ASD).

We present a study aimed at exploring whether a humanoid robot may improve the effectiveness of educ...

Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.

Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-occurring an...

Brief Report: Evaluation of an Intelligent Learning Environment for Young Children with Autism Spectrum Disorder.

Researchers are increasingly attempting to develop and apply innovative technological platforms for ...

The Hyper-Modular Associative Mind: A Computational Analysis of Associative Responses of Persons with Asperger Syndrome.

Rigidity of thought is considered a main characteristic of persons with Asperger syndrome (AS). This...

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