Neurology

Autism

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

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Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.

BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a ...

AutismKB 2.0: a knowledgebase for the genetic evidence of autism spectrum disorder.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with strong genetic contribu...

An end-to-end deep learning architecture for extracting protein-protein interactions affected by genetic mutations.

The BioCreative VI Track IV (mining protein interactions and mutations for precision medicine) chall...

Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.

In this paper, we describe a hierarchical bi-directional attention-based Re-current Neural Network (...

Variants in GNPTAB, GNPTG and NAGPA genes are associated with stutterers.

Non-syndromic stuttering is a neurodevelopmental disorder characterized by disruptions in normal flo...

Real-Time Monitoring and Analysis of Zebrafish Electrocardiogram with Anomaly Detection.

Heart disease is the leading cause of mortality in the U.S. with approximately 610,000 people dying ...

Pseudoneglect in Visual Search: Behavioral Evidence and Connectional Constraints in Simulated Neural Circuitry.

Most people tend to bisect horizontal lines slightly to the left of their true center (pseudoneglect...

Microsatellite based Genetic Variation among the Buffalo Breed Populations in Pakistan.

INTRODUCTION: Eight microsatellite loci were used to define genetic diversity among five native wate...

Metric learning with spectral graph convolutions on brain connectivity networks.

Graph representations are often used to model structured data at an individual or population level a...

Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network.

Identification of the significant factors of traffic crashes has been a primary concern of the trans...

Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm.

DSM-5 Autism Spectrum Disorder (ASD) comprises a set of neurodevelopmental disorders characterized b...

Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism.

BACKGROUND: Autism spectrum disorder (ASD) diagnosis can be delayed due in part to the time required...

Modeling the control of the central nervous system over the cardiovascular system using support vector machines.

The control of the central nervous system (CNS) over the cardiovascular system (CS) has been modeled...

A 29-gene and cytogenetic score for the prediction of resistance to induction treatment in acute myeloid leukemia.

Primary therapy resistance is a major problem in acute myeloid leukemia treatment. We set out to dev...

Augmented reality for personalized nanomedicines.

As our understanding of onset and progress of diseases at the genetic and molecular level rapidly pr...

The Metabolic Response of Skeletal Muscle to Endurance Exercise Is Modified by the ACE-I/D Gene Polymorphism and Training State.

The insertion/deletion polymorphism in the gene for the regulator of vascular tone, angiotensin-conv...

A novel method for predicting kidney stone type using ensemble learning.

The high morbidity rate associated with kidney stone disease, which is a silent killer, is one of th...

Machine learning shows association between genetic variability in and cerebral connectivity in preterm infants.

Preterm infants show abnormal structural and functional brain development, and have a high risk of l...

DNA Cryptography and Deep Learning using Genetic Algorithm with NW algorithm for Key Generation.

Cryptography is not only a science of applying complex mathematics and logic to design strong method...

Detecting event-related changes in organizational networks using optimized neural network models.

Organizational external behavior changes are caused by the internal structure and interactions. Exte...

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