Autism

Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value.

STUDY DESIGN: Retrospective review of prospectively-collected, multicenter adult spinal deformity (ASD) databases.

[Current Status of Robotic Research for Individuals with Autism Spectrum Disorders].

Individuals with autism spectrum disorders (ASD) can face lifelong challenges. There are a variety of therapeutic and educational approaches, any of which may have educational benefits for some but not all individuals with ASD. The latest progress in humanoid robotics is remarkable. Many individuals with ASD are interested in robotic technology, and interventions using humanoid robotics have recei...

Design and validation of two embodied mirroring setups for interactive games with autistic children using the NAO humanoid robot.

Socially assistive robots have shown potential benefits in therapy of child and elderly patients with social and cognitive deficits. In particular, fo...

Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis.

Frequent pain and discomfort in premature infants can lead to long-term adverse neurodevelopmental outcomes. Video-based monitoring is considered to b...

Teaching Robotics Coding to a Student with ASD and Severe Problem Behavior.

Research on teaching STEM, especially in the areas of teaching coding for students with ASD, is lacking. The purpose of the current study was to evalu...

A Machine Learning Strategy for Autism Screening in Toddlers.

OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and intervention, but lack of time and training can dete...

Predictive learning: its key role in early cognitive development.

What is a fundamental ability for cognitive development? Although many researchers have been addressing this question, no shared understanding has bee...

Fusing autonomy and sociality via embodied emergence and development of behaviour and cognition from fetal period.

Human-centred AI/Robotics are quickly becoming important. Their core claim is that AI systems or robots must be designed and work for the benefits of ...

Brief Report: Evaluating the Utility of Varied Technological Agents to Elicit Social Attention from Children with Autism Spectrum Disorders.

Technological agents could be effective tools to be used in interventions for enhancing social orienting for some young children with ASD. We examined...

Brief Report: A Novel System to Evaluate Autism Spectrum Disorders Using Two Humanoid Robots.

We investigated the feasibility of our novel evaluation system for use with children with autism spectrum disorders (ASD). We prepared the experimenta...

The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference.

Population-scale genomic data sets have given researchers incredible amounts of information from which to infer evolutionary histories. Concomitant wi...

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 data from high-throughput genomics pipelines. As th...

PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs.

One important aspect of precision medicine aims to deliver the right medicine to the right patient at the right dose at the right time based on the un...

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/patte...

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 interventions using robot KASPAR for children with autism spec...

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 created a challenge in continuous and reliable curati...

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. While noncoding genetic variation has been shown...

Endometriosis Knowledgebase: a gene-based resource on endometriosis.

Endometriosis is a complex, benign, estrogen-dependent gynecological disorder with an incidence of ~10% women in reproductive age. The implantation an...

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. Gene therapy has been considered as a potential c...

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 that resembled a small-group arrangement. This tutori...