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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 358-378 of 12,789 articles

Diagnosis of Autism Spectrum Disorder (ASD) by Dynamic Functional Connectivity Using GNN-LSTM.

Early detection of autism spectrum disorder (ASD) is particularly important given its insidious qual...

Dec 2024 PMID: 39796946

Development of an individualized dementia risk prediction model using deep learning survival analysis incorporating genetic and environmental factors.

BACKGROUND: Dementia is a major public health challenge in modern society. Early detection of high-r...

Dec 2024 PMID: 39736679

A hybrid artificial neural network and multi-objective genetic algorithm approach to optimize extraction conditions of Mentha longifolia and biological activities.

In this work, artificial neural network coupled with multi-objective genetic algorithm (ANN-NSGA-II)...

Dec 2024 PMID: 39733105

Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth.

A complex interplay of genetic and environmental factors influences bacterial growth. Understanding ...

Dec 2024 PMID: 39719455

Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos.

BACKGROUND: Attention deficit hyperactivity disorder (ADHD) is a common childhood neurodevelopmental...

Dec 2024 PMID: 39716052

Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy.

BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, but its pathogenesis remains...

Dec 2024 PMID: 39777260

ShinyGS-a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations.

Genomic prediction is a powerful approach for improving genetic gain and shortening the breeding cyc...

Dec 2024 PMID: 39777081

MCBERT: A multi-modal framework for the diagnosis of autism spectrum disorder.

Within the domain of neurodevelopmental disorders, autism spectrum disorder (ASD) emerges as a disti...

Dec 2024 PMID: 39722324

Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes.

Many individuals with autism experience challenges using language in social contexts (i.e., pragmati...

Dec 2024 PMID: 39704443

Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks.

Correctly diagnosing Alzheimer's disease (AD) and identifying pathogenic brain regions and genes pla...

Dec 2024 PMID: 39721106

Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations.

Psychiatric disorders are influenced by genetic and environmental factors. However, their study is h...

Dec 2024 PMID: 39706190

Multimodal autism detection: Deep hybrid model with improved feature level fusion.

OBJECTIVE: Social communication difficulties are a characteristic of autism spectrum disorder (ASD),...

Dec 2024 PMID: 39700689

The constrained-disorder principle defines the functions of systems in nature.

The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent v...

Dec 2024 PMID: 39744508

Identification of autism spectrum disorder using electroencephalography and machine learning: a review.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by communication barr...

Dec 2024 PMID: 39580816

Multimodal Alzheimer's disease classification through ensemble deep random vector functional link neural network.

Alzheimer's disease (AD) is a condition with a complex pathogenesis, sometimes hereditary, character...

Dec 2024 PMID: 39896355

Automated Neuroprognostication Via Machine Learning in Neonates with Hypoxic-Ischemic Encephalopathy.

OBJECTIVES: Neonatal hypoxic-ischemic encephalopathy is a serious neurologic condition associated wi...

Dec 2024 PMID: 39655476

Optimization of extraction in supercritical fluids in obtaining seed oil by response surface methodology and artificial neuronal network coupled with a genetic algorithm.

When processing lucuma (), waste such as shells and seeds is generated, which is a source of bioacti...

Dec 2024 PMID: 39720553

Unraveling pathogenesis and potential biomarkers for autism spectrum disorder associated with HIF1A pathway based on machine learning and experiment validation.

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a high social burde...

Dec 2024 PMID: 39657846

Neurology

Browse Specialties

Diagnosis of Autism Spectrum Disorder (ASD) by Dynamic Functional Connectivity Using GNN-LSTM.

Development of an individualized dementia risk prediction model using deep learning survival analysis incorporating genetic and environmental factors.

A hybrid artificial neural network and multi-objective genetic algorithm approach to optimize extraction conditions of Mentha longifolia and biological activities.

Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth.

Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos.

Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy.

ShinyGS-a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations.

MCBERT: A multi-modal framework for the diagnosis of autism spectrum disorder.

Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes.

Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks.

Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations.

Multimodal autism detection: Deep hybrid model with improved feature level fusion.

The constrained-disorder principle defines the functions of systems in nature.

Identification of autism spectrum disorder using electroencephalography and machine learning: a review.

Multimodal Alzheimer's disease classification through ensemble deep random vector functional link neural network.

Automated Neuroprognostication Via Machine Learning in Neonates with Hypoxic-Ischemic Encephalopathy.

Optimization of extraction in supercritical fluids in obtaining seed oil by response surface methodology and artificial neuronal network coupled with a genetic algorithm.

Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification.

A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics.

Limbic/paralimbic connection weakening in preschool autism-spectrum disorder based on diffusion basis spectrum imaging.

Unraveling pathogenesis and potential biomarkers for autism spectrum disorder associated with HIF1A pathway based on machine learning and experiment validation.

Browse Specialties