Autism

Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB.

Successful development of biological databases requires accommodation of the burgeoning amounts of d...

Designing an Engineered Construct Gene Sensitive to Carbohydrate In-vitro and Candidate for Human Insulin Gene Therapy In-vivo.

Diabetes is a common disorder worldwide, and exhaustive efforts have been made to cure this disease....

Endometriosis Knowledgebase: a gene-based resource on endometriosis.

Endometriosis is a complex, benign, estrogen-dependent gynecological disorder with an incidence of ~...

Recognition of Lung Adenocarcinoma-specific Gene Pairs Based on Genetic Algorithm and Establishment of a Deep Learning Prediction Model.

AIM AND OBJECTIVE: Lung cancer is a disease with a dismal prognosis and is the major cause of cancer...

Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging.

BACKGROUND: Heart rate variability (HRV) can reflect the relationship between heart rhythm and sleep...

Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.

Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children...

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

The increasing amount of scientific literature in biological and biomedical science research has cre...

Roles, Strengths and Challenges of Using Robots in Interventions for Children with Autism Spectrum Disorder (ASD).

The aim of this research was to study roles, strengths and challenges of robot-mediated intervention...

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia f...

ICT and autism care: state of the art.

PURPOSE OF REVIEW: Over the past 10 years, the use of information and communication technologies (IC...

Behavior, Electrophysiology, and Robotics Experiments to Study Lateral Line Sensing in Fishes.

The lateral line system is a sensory system unique to fishes and amphibians. It is composed of distr...

Small-Group Technology-Assisted Instruction: Virtual Teacher and Robot Peer for Individuals with Autism Spectrum Disorder.

The authors combined virtual reality technology and social robotics to develop a tutoring system tha...

In-home Robots Improve Social Skills in Children With Autism.

Genetic algorithm and artificial neural network model for prediction of discoloration dye from an electro-oxidation process in a press-type reactor.

This study evaluates the effectiveness of an artificial neural network-genetic algorithm (ANN-GA) ar...

Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.

IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the path...

Multivariate Pattern Analysis of Genotype-Phenotype Relationships in Schizophrenia.

Genetic risk variants for schizophrenia have been linked to many related clinical and biological phe...

Machine learning approach for early detection of autism by combining questionnaire and home video screening.

BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- ...

Machine-learned analysis of the association of next-generation sequencing-based human TRPV1 and TRPA1 genotypes with the sensitivity to heat stimuli and topically applied capsaicin.

Heat pain and its modulation by capsaicin varies among subjects in experimental and clinical setting...

A Sibling-Mediated Intervention for Children with Autism Spectrum Disorder: Using the Natural Language Paradigm (NLP).

We taught three typically developing siblings to occasion speech by implementing the Natural Languag...

Predicting Autism Spectrum Disorder Using Domain-Adaptive Cross-Site Evaluation.

The advances in neuroimaging methods reveal that resting-state functional fMRI (rs-fMRI) connectivit...

Chromatin accessibility prediction via a hybrid deep convolutional neural network.

MOTIVATION: A majority of known genetic variants associated with human-inherited diseases lie in non...