Neurology

Autism

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

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Use of artificial intelligence to assess genetic predisposition to develop critical COVID-19 disease: a comparative study of machine learning models.

OBJECTIVES: Early prediction of critical COVID-19 disease is crucial for an optimal clinical managem...

Effective Autism Classification Through Grasping Kinematics.

Autism is a complex neurodevelopmental condition, where motor abnormalities play a central role alon...

Assessing large language model performance related to aging in genetic conditions.

Most genetic conditions are described in pediatric populations, leaving a gap in understanding their...

Multi-objective optimization framework to plan laser ablation procedure for prostate tumors through a genetic algorithm.

BACKGROUND AND OBJECTIVES: Prostate cancer is the most common form of cancer in the male population....

Integrating genetic variation with deep learning provides context for variants impacting transcription factor binding during embryogenesis.

Understanding how genetic variation impacts transcription factor (TF) binding remains a major challe...

Ge-SAND: an explainable deep learning-driven framework for disease risk prediction by uncovering complex genetic interactions in parallel.

BACKGROUND: Accurate genetic risk prediction and understanding the mechanisms underlying complex dis...

Advancement in early diagnosis of polycystic ovary syndrome: biomarker-driven innovative diagnostic sensor.

Polycystic ovary syndrome (PCOS) is a heterogeneous multifactorial endocrine disorder that affects o...

Statistical algorithms for the analysis of deleterious genetic mutations.

We present algorithms for model selection and parameter estimation concerning deleterious genetic mu...

Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models.

BACKGROUND: Functional biomarkers in neurodevelopmental disorders, such as verbal and ambulatory abi...

Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis.

Exploring the pathogenic mechanisms of brain disorders within population is an important research in...

Brain circuits that regulate social behavior.

Social interactions are essential for the survival of individuals and the reproduction of population...

Current and Emerging Precision Therapies for Developmental and Epileptic Encephalopathies.

Developmental and epileptic encephalopathies (DEEs) are severe neurological disorders characterized ...

Accelerated Design of Fenton-Like Copper Single-Atom Catalysts by Adaptive Learning with Genetic Programming.

Traditional trial-and-error methods for optimizing catalyst synthesis are time-consuming and costly,...

Generative artificial intelligence, integrative bioinformatics, and single-cell analysis reveal Alzheimer's genetic and immune landscape.

The research aims to understand Alzheimer's genetic and immune landscapes using the amalgamation of ...

A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection.

Autism Spectrum Disorder (ASD) affects approximately [Formula: see text] of the global population an...

A deep learning-based ensemble for autism spectrum disorder diagnosis using facial images.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder leading to an inability to socially ...

Intersecting impact of CAG repeat and huntingtin knockout in stem cell-derived cortical neurons.

Huntington's Disease (HD) is caused by a CAG repeat expansion in the gene encoding huntingtin (HTT)....

A comprehensive case study of deep learning on the detection of alpha thalassemia and beta thalassemia using public and private datasets.

This study explores the performance of deep learning models, specifically Convolutional Neural Netwo...

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