Neurology

Autism

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

12,955 articles
Stay Ahead - Weekly Autism research updates
Subscribe
Browse Categories
Showing 1618-1638 of 12,955 articles
Exploring pesticide risk in autism via integrative machine learning and network toxicology.

Autism Spectrum Disorder (ASD) is a prevalent neurodevelopmental condition influenced by both geneti...

Accelerating autism spectrum disorder care: A rapid review of data science applications in diagnosis and intervention.

Integrating data science techniques, including machine learning, natural language processing, and bi...

Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care.

BACKGROUND: Artificial Intelligence (AI) is capable of revolutionizing cancer therapy and advancing ...

AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes.

The performance and long-term health of athletes are significantly influenced by their cardiovascula...

Artificial intelligence medical image-aided diagnosis system for risk assessment of adjacent segment degeneration after lumbar fusion surgery.

The existing assessment of adjacent segment degeneration (ASD) risk after lumbar fusion surgery focu...

A Hierarchical Graph Convolutional Network With Infomax-Guided Graph Embedding for Population-Based ASD Detection.

Recently, functional magnetic resonance imaging (fMRI)-based brain networks have been shown to be an...

Integrative approaches for predicting protein network perturbations through machine learning and structural characterization.

Chromatin remodeling complexes, such as the Saccharomyces cerevisiae INO80 complex, exemplify how dy...

Machine learning positioning algorithms for long semi-monolithic scintillator PET detectors.

In this work, machine learning positioning algorithms are developed to improve the spatial resolutio...

Imaging biomarkers for detection and longitudinal monitoring of ventricular abnormalities from birth to childhood.

This narrative review examines the use of imaging biomarkers for diagnosing and monitoring hydroceph...

Fetal origins of adult disease: transforming prenatal care by integrating Barker's Hypothesis with AI-driven 4D ultrasound.

INTRODUCTION: The fetal origins of adult disease, widely known as Barker's Hypothesis, suggest that ...

Bio inspired optimization techniques for disease detection in deep learning systems.

Numerous contemporary computer-aided disease detection methodologies predominantly depend on feature...

SCIG: Machine learning uncovers cell identity genes in single cells by genetic sequence codes.

Deciphering cell identity genes is pivotal to understanding cell differentiation, development, and c...

Decoding cancer prognosis with deep learning: the ASD-cancer framework for tumor microenvironment analysis.

Deep learning is revolutionizing biomedical research by facilitating the integration of multi-omics ...

Investigating the Genetic Links Between Immune Cell Profiles and Bladder Cancer: A Multidisciplinary Bioinformatics Approach.

: Bladder cancer (BC) is a common malignancy in the urinary system, with an increasing incidence rat...

Characterizing ASD Subtypes Using Morphological Features from sMRI with Unsupervised Learning.

In this study, we attempted to identify the subtypes of autism spectrum disorder (ASD) with the help...

Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare.

Changes in the pace of neurodevelopment are key indicators of atypical maturation during early life....

Alzheimer's subtypes A supervised, unsupervised, multimodal, multilayered embedded recursive (SUMMER) AI study.

Since Alzheimer's disease (AD) is a heterogeneous disease, different subtypes may have distinct biol...

Innovations in maternal-fetal dermatology: A focus on artificial intelligence-driven diagnostics, global disparities, and transformative care.

Pregnancy-associated dermatologic conditions emerge from intricate hormonal, immunologic, genetic, a...

Browse Categories