Neurology

Autism

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

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Selection plays the hand it was dealt: evidence that human adaptation commonly targets standing genetic variation.

Using a powerful machine learning approach, a recent study of human genomes has revealed widespread ...

Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market.

Accurate box office forecasting models are developed by considering competition and word-of-mouth (W...

Reconstructing Genetic Regulatory Networks Using Two-Step Algorithms with the Differential Equation Models of Neural Networks.

BACKGROUND: The identification of genetic regulatory networks (GRNs) provides insights into complex ...

Reduced- and Full-Order Observers for Delayed Genetic Regulatory Networks.

This paper is centered upon the state estimation for delayed genetic regulatory networks. Our aim is...

Using a social robot to teach gestural recognition and production in children with autism spectrum disorders.

While it has been argued that children with autism spectrum disorders are responsive to robot-like t...

Stability Analysis of Genetic Regulatory Networks With Switching Parameters and Time Delays.

This paper is concerned with the exponential stability analysis of genetic regulatory networks (GRNs...

Detecting Abnormal Word Utterances in Children With Autism Spectrum Disorders: Machine-Learning-Based Voice Analysis Versus Speech Therapists.

Abnormal prosody is often evident in the voice intonations of individuals with autism spectrum disor...

Modeling and Optimization of NLDH/PVDF Ultrafiltration Nanocomposite Membrane Using Artificial Neural Network-Genetic Algorithm Hybrid.

In this research, MgAl-CO nanolayered double hydroxide (NLDH) was synthesized through a facile copre...

Recurrent neural network-based modeling of gene regulatory network using elephant swarm water search algorithm.

Correct inference of genetic regulations inside a cell from the biological database like time series...

Omics Data Complementarity Underlines Functional Cross-Communication in Yeast.

Mapping the complete functional layout of a cell and understanding the cross-talk between different ...

Fluid and flexible minds: Intelligence reflects synchrony in the brain's intrinsic network architecture.

Human intelligence has been conceptualized as a complex system of dissociable cognitive processes, y...

Multiple Trait Covariance Association Test Identifies Gene Ontology Categories Associated with Chill Coma Recovery Time in Drosophila melanogaster.

The genomic best linear unbiased prediction (GBLUP) model has proven to be useful for prediction of ...

BrainAGE score indicates accelerated brain aging in schizophrenia, but not bipolar disorder.

BrainAGE (brain age gap estimation) is a novel morphometric parameter providing a univariate score d...

A Strategy for Sperm Cryopreservation of Atlantic Salmon, , for Remote Commercial-scale High-throughput Processing.

Sperm cryopreservation is an essential tool for long-term storage of genetic resources for aquacultu...

Precision Medicine: Genomic Profiles to Individualize Therapy.

Precision medicine is the application of genotypic and Omics biomarkers to determine the most approp...

Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics.

One of the major challenges of evolutionary robotics is to transfer robot controllers evolved in sim...

Crowdsourced validation of a machine-learning classification system for autism and ADHD.

Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) together affect >...

Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.

Precision medicine approaches rely on obtaining precise knowledge of the true state of health of an ...

Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis.

BACKGROUND AND OBJECTIVES: This paper examines the accuracy and efficiency (time complexity) of high...

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