Autism

A pan-CRISPR analysis of mammalian cell specificity identifies ultra-compact sgRNA subsets for genome-scale experiments.

A genetic knockout can be lethal to one human cell type while increasing growth rate in another. This context specificity confounds genetic analysis and prevents reproducible genome engineering. Genome-wide CRISPR compendia across most common human cell lines offer the largest opportunity to understand the biology of cell specificity. The prevailing viewpoint, synthetic lethality, occurs when a ge...

Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm.

Recently, many methods based on hand-designed convolutional neural networks (CNNs) have achieved promising results in automatic retinal vessel segmentation. However, these CNNs remain constrained in capturing retinal vessels in complex fundus images. To improve their segmentation performance, these CNNs tend to have many parameters, which may lead to overfitting and high computational complexity. ...

Effects of Parental Involvement in Robot-Assisted Autism Therapy.

Parental involvement in traditional autism therapy is key to the effective treatment of children with ASD. Little is known about parental involvement ...

Deep learning-based school attendance prediction for autistic students.

Autism Spectrum Disorder is a neurodevelopmental disorder characterized by deficits in social communication and interaction as well as the presence of...

Attention-guided deep learning for gestational age prediction using fetal brain MRI.

Magnetic resonance imaging offers unrivaled visualization of the fetal brain, forming the basis for establishing age-specific morphologic milestones. ...

Genetic data sharing and artificial intelligence in the era of personalized medicine based on a cross-sectional analysis of the Saudi human genome program.

The success of the Saudi Human Genome Program (SHGP), one of the top ten genomic programs worldwide, is highly dependent on the Saudi population embra...

A Systematic Review of Research on Robot-Assisted Therapy for Children with Autism.

Recent studies have shown that children with autism may be interested in playing with an interactive robot. Moreover, the robot can engage these child...

A Study on Regional GDP Forecasting Analysis Based on Radial Basis Function Neural Network with Genetic Algorithm (RBFNN-GA) for Shandong Economy.

Gross domestic product (GDP) is an important indicator for determining a country's or region's economic status and development level, and it is closel...

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions.

Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or central nervous system. In the light of clinical ...

Different features identified by machine learning associated with the HIV compartmentalization in semen.

Genetic compartmentalization in semen has been observed in previous studies. However, genetic signatures associated with compartmentalization in semen...

Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks.

There is an unmet need of models for early prediction of morbidity and mortality of Coronavirus disease-19 (COVID-19). We aimed to a) identify complem...

Computing within bacteria: Programming of bacterial behavior by means of a plasmid encoding a perceptron neural network.

In nature, bacteria exhibit a limited repertoire of behaviors in response to environmental changes. Synthetic biology has now opened up the possibilit...

A deep learning model for early risk prediction of heart failure with preserved ejection fraction by DNA methylation profiles combined with clinical features.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF), affected collectively by genetic and environmental factors, is the common subtype ...

Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques.

The main objective of this work is to establish a framework for processing and evaluating the lower limb electromyography (EMG) signals ready to be fe...

Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques.

Recent years have witnessed the proliferation of social robots in various domains including special education. However, specialized tools to assess th...

Genetic Programming for Instance Transfer Learning in Symbolic Regression.

Transfer learning has attracted more attention in the machine-learning community recently. It aims to improve the learning performance on the domain o...

Application of deep learning algorithm on whole genome sequencing data uncovers structural variants associated with multiple mental disorders in African American patients.

Mental disorders present a global health concern, while the diagnosis of mental disorders can be challenging. The diagnosis is even harder for patient...

Technologies bringing young Zebrafish from a niche field to the limelight.

Fundamental life science and pharmaceutical research are continually striving to provide physiologically relevant context for their biological studies...

Machine Learning of Medical Applications Involving Complicated Proteins and Genetic Measurements.

. Breast cancer is the second greatest cause of cancer mortality among women, according to the World Health Organization (WHO), and one of the most fr...

Application of Multilayer Perceptron Genetic Algorithm Neural Network in Chinese-English Parallel Corpus Noise Processing.

This paper uses neural network as a predictive model and genetic algorithm as an online optimization algorithm to simulate the noise processing of Chi...