Autism

DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome.

MOTIVATION: Understanding the functional consequence of genetic variants, especially the non-coding ...

Optimization scheme of machine learning model for genetic division between northern Han, southern Han, Korean and Japanese.

Han Chinese, Korean and Japanese are the main populations of East Asia, and Han Chinese presents a g...

The genetic algorithm-aided three-stage ensemble learning method identified a robust survival risk score in patients with glioma.

Ensemble learning is a kind of machine learning method which can integrate multiple basic learners t...

Distributed nonsynchronous event-triggered state estimation of genetic regulatory networks with hidden Markovian jumping parameters.

In this paper, the distributed state estimation problem of genetic regulatory networks (GRNs) with h...

Braitenberg Vehicles as Developmental Neurosimulation.

Connecting brain and behavior is a longstanding issue in the areas of behavioral science, artificial...

KLFDAPC: a supervised machine learning approach for spatial genetic structure analysis.

Geographic patterns of human genetic variation provide important insights into human evolution and d...

Novel Insights Into Facial Emotion Encoding in Autism Spectrum Disorder Through Deep Learning.

Development of an Interactive Total Body Robot Enhanced Imitation Therapy for ASD children.

Autism is a neurodevelopmental disorder in which the available therapies target the improvement of s...

Three Study Cases of Social Robotics in Autism Spectrum Disorder Treatment: Personalization and Usability of CASTOR Robot.

Social assistive robotics in autism has been implemented in studies and therapies to improve social ...

Sharing Worlds: Design of a Real-Time Attention Classifier for Robotic Therapy of ASD Children.

Joint attention is the capacity of sharing attention between two agents and an aspect of the environ...

Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

BACKGROUND: Diagnostic classification of diffuse gliomas now requires an assessment of molecular fea...

Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy.

Owing to the general disadvantages of traditional neural networks in gas concentration inversion, su...

Deep learning-based identification of genetic variants: application to Alzheimer's disease classification.

Deep learning is a promising tool that uses nonlinear transformations to extract features from high-...

A deep learning framework for characterization of genotype data.

Dimensionality reduction is a data transformation technique widely used in various fields of genomic...

Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer.

The ability of a computer to perform tasks normally requiring human intelligence or artificial intel...

Recent Applications of Artificial Intelligence in Early Cancer Detection.

Cancer is a deadly disease that is often caused by the accumulation of various genetic mutations and...

Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis.

BACKGROUND: Recent development in neuroimaging and genetic testing technologies have made it possibl...

[Application of Artificial Intelligence in Clinical Genomics].

Clinical genomics mainly studies the clinical application of genomics in diagnosis,treatment decisio...

The Role of Robotic Rehabilitation in Children with Neurodevelopmental Disorders.

In the last years, traditional treatments have been combined with innovative therapies, such as robo...

Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance.

Although chemotherapy is the first-line treatment for ovarian cancer (OCa) patients, chemoresistance...

A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains.

Recently, the frequency of observing bacterial strains without known genetic components underlying p...