Neurology

Autism

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

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Enriching Human-Robot Interaction with Mobile App in Interventions of Children with Autism Spectrum Disorder.

: Autism spectrum disorder (ASD) is a group of complex lifelong neurodevelopmental disorders, charac...

Application of Neural Network Model Based on Multispecies Evolutionary Genetic Algorithm to Planning and Design of Diverse Plant Landscape.

In order to explore the feasibility of applying neural network model to landscape planning, based on...

Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases.

BACKGROUND: Clinical interpretation of genetic variants in the context of the patient's phenotype is...

Genetic variant effect prediction by supervised nonnegative matrix tri-factorization.

Discriminating between deleterious and neutral mutations among numerous non-synonymous single nucleo...

Deep Learning-Based Analysis of Face Images as a Screening Tool for Genetic Syndromes.

Approximately 4% of the world's population suffers from rare diseases. A vast majority of these diso...

Advances in for Abiotic Stress Resilience: From 'Omics' to Artificial Intelligence.

Legumes are a better source of proteins and are richer in diverse micronutrients over the nutritiona...

Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot.

The purpose of mobile robot path planning is to produce the optimal safe path. However, mobile robot...

Predicting the Risk of Hypertension Based on Several Easy-to-Collect Risk Factors: A Machine Learning Method.

Hypertension is a widespread chronic disease. Risk prediction of hypertension is an intervention tha...

Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment.

HIV molecular epidemiology estimates the transmission patterns from clustering genetically similar v...

Generative Design Procedure for Embedding Specified Planar Behavior in Modular Soft Pneumatic Actuators.

A modular actuator construction consisting of smaller articulating units in series was designed to c...

Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.

Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjace...

GenNet framework: interpretable deep learning for predicting phenotypes from genetic data.

Applying deep learning in population genomics is challenging because of computational issues and lac...

Genetic dissection of complex traits using hierarchical biological knowledge.

Despite the growing constellation of genetic loci linked to common traits, these loci have yet to ac...

Identifying digenic disease genes via machine learning in the Undiagnosed Diseases Network.

Rare diseases affect millions of people worldwide, and discovering their genetic causes is challengi...

Action Recognition of Lower Limbs Based on Surface Electromyography Weighted Feature Method.

To improve the recognition rate of lower limb actions based on surface electromyography (sEMG), an e...

Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms.

OBJECTIVE: To develop and validate deep learning (DL) methods for diagnosing autism spectrum disorde...

Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm.

Since the reform and opening up, China's regional economy has developed rapidly. However, due to dif...

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