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

Showing 2164-2184 of 9,821 articles

Progress on deep learning in genomics.

With the rapid growth of data driven by high-throughput sequencing technologies, genomics has entere...

Sep 2024 39275870

Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns

The surface morphology of the developing mammalian brain is crucial for understanding brain functi...

Aug 2024 http://arxiv.org/abs/2408.17334v2

Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework

Autism Spectrum Disorder (ASD) is a rapidly growing neurodevelopmental disorder. Performing a time...

Aug 2024 http://arxiv.org/abs/2408.16924v1

Detailed delineation of the fetal brain in diffusion MRI via multi-task learning

Diffusion-weighted MRI is increasingly used to study the normal and abnormal development of fetal ...

Aug 2024 http://arxiv.org/abs/2409.06716v2

Including Non-Autistic Peers in Games Designed for Autistic Socialization

Through a review of current game practices, the author highlights concerns regarding the safety of...

Aug 2024 http://arxiv.org/abs/2408.13967v1

Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images

Many molecular alterations serve as clinically prognostic or therapy-predictive biomarkers, typica...

Aug 2024 http://arxiv.org/abs/2408.09554v2

Predicting the genetic component of gene expression using gene regulatory networks

Gene expression prediction plays a vital role in transcriptome-wide association studies (TWAS), wh...

Aug 2024 http://arxiv.org/abs/2408.08530v1

Integration of Genetic Algorithms and Deep Learning for the Generation and Bioactivity Prediction of Novel Tyrosine Kinase Inhibitors

The intersection of artificial intelligence and bioinformatics has enabled significant advancement...

Aug 2024 http://arxiv.org/abs/2408.07155v1

Anatomical Foundation Models for Brain MRIs

Deep Learning (DL) in neuroimaging has become increasingly relevant for detecting neurological con...

Aug 2024 http://arxiv.org/abs/2408.07079v3

Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data.

BACKGROUND: Hemoglobinopathies, the most common inherited blood disorder, are frequently underdiagno...

Aug 2024 38906831

A novel sand cat swarm optimization algorithm-based SVM for diagnosis imaging genomics in Alzheimer's disease.

In recent years, brain imaging genomics has advanced significantly in revealing underlying pathologi...

Aug 2024 39147391

Interpreting artificial neural networks to detect genome-wide association signals for complex traits

Investigating the genetic architecture of complex diseases is challenging due to the multifactoria...

Jul 2024 http://arxiv.org/abs/2407.18811v2

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks.

Systematic characterization of biological effects to genetic perturbation is essential to the applic...

Jul 2024 39226889

Transformer-Based Wavelet-Scalogram Deep Learning for Improved Seizure Pattern Recognition in Post-Hypoxic-Ischemic Fetal Sheep EEG.

Hypoxic-ischemic (HI) events in newborns can trigger seizures, which are highly associated with late...

Jul 2024 40039656

Neurology

Browse Categories

Progress on deep learning in genomics.

Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns

Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework

Detailed delineation of the fetal brain in diffusion MRI via multi-task learning

Including Non-Autistic Peers in Games Designed for Autistic Socialization

Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images

Predicting the genetic component of gene expression using gene regulatory networks

Integration of Genetic Algorithms and Deep Learning for the Generation and Bioactivity Prediction of Novel Tyrosine Kinase Inhibitors

Anatomical Foundation Models for Brain MRIs

Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data.

A novel sand cat swarm optimization algorithm-based SVM for diagnosis imaging genomics in Alzheimer's disease.

Interpreting artificial neural networks to detect genome-wide association signals for complex traits

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks.

Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects.

GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning

Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review.

Visual Stereotypes of Autism Spectrum in DALL-E, Stable Diffusion, SDXL, and Midjourney

Exploring Implicit Biological Heterogeneity in ASD Diagnosis Using a Multi-Head Attention Graph Neural Network.

FastImpute: A Baseline for Open-source, Reference-Free Genotype Imputation Methods -- A Case Study in PRS313

Dual Attention Graph Convolutional Network Fusing Imaging and Genetic Data for Early Alzheimer's Disease Diagnosis.

Transformer-Based Wavelet-Scalogram Deep Learning for Improved Seizure Pattern Recognition in Post-Hypoxic-Ischemic Fetal Sheep EEG.

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