Neurology

Autism

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

12,651 articles
Stay Ahead - Weekly Autism research updates
Subscribe
Browse Categories
Showing 2041-2060 of 12,651 articles

Distributed Genetic Effects on Human Brain Structure Emerge Across Multiple Spatial Scales

Genome-wide association studies (GWAS) have identified hundreds of common genetic variants associated with regional brain volumes, enabling the construction of polygenic scores (PGS) that summarize genetic predisposition for variation in specific neuroanatomical traits. To investigate how these genetic influences are exerted spatially throughout the brain, we computed PGS for ten brain volume phen...

General-purpose time-series foundation models enable sample-efficient transfer learning in retinal electrophysiology

Electroretinography (ERG) measures the functional response of distinct retinal cells to light, but was largely displaced by structural imaging in the 2000s. Standardization efforts by the International Society for Clinical Electrophysiology of Vision (ISCEV) began in the late 1980s, and collapsed the rich time-series traces into reproducible components and implicit times. Recent improvements in ha...

A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

Autism spectrum disorder (ASD) is a developmental disability characterized by challenges in social interaction and communication. As the causes of ASD...

Aug 18 2026 2608.18188v1
Early Detection of Erythropoietic Protoporphyria Using Sequential Machine Learning on Longitudinal Electronic Health Records

Objective: Erythropoietic protoporphyria (EPP) is a rare photodermatosis marked by multi-year diagnostic delays. We developed and externally validated...

From Field Photosynthesis to Genetic Architecture: Insights from the First Dedicated Photosynthesis Hackathon

Photosynthesis is among the most consequential yet genetically complex traits in crop plants, and translating its natural variation into actionable ge...

Spatial second-order features predict glioma malignant transformation

Isocitrate dehydrogenase (IDH) mutant gliomas often transform from low to high grade aggressive tumors. The genetic and molecular drivers of this Mali...

EEG-PRISM: Physiologically-Grounded Interpretability of Predictions by EEG Foundation Models

Objective: Foundation models represent the next advancement in AI for EEG analysis; however current explainable AI techniques provide attribution scor...

Aug 13 2026 2608.13676v1
Analysis of Motor Signatures of Social Adaptation in Autism for Efficient Human-Centric Systems

Dance imitation integrates motor planning, sensorimotor integration, and social cognition, offering a sensitive framework to characterize motor behavi...

Aug 12 2026 2608.12548v1
A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery

Background: Accurate segmentation of the Left Anterior Descending (LAD) artery in 3D free-breathing, non-contrast CT is critical for cardiac dose spar...

Aug 12 2026 2608.12274v1
Multi-Level Evidence Aggregation for Robust Facial Phenotype Retrieval in Rare Genetic Disorder Prioritization

AI-assisted facial phenotyping supports rare genetic disorder prioritization by retrieving visually similar diagnosed cases from facial image referenc...

Aug 11 2026 2608.11037v1
RADIX: a deep learning framework that maps root barriers across species and reveals genetic and environmental contributions

Root anatomical barriers, including the suberized and lignified walls of the endodermis and exodermis, and cortical aerenchyma, regulate water and nut...

Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging

Neuroimaging and genetic testing are two important clinical references for nervous system diseases, offering complementary diagnostic information. How...

Aug 9 2026 2608.08926v1
Explainable machine learning relates histological to genomic pathology

Background & Aims: Haematoxylin and eosin (H&E) staining remains the diagnostic gold standard for solid cancers, including hepatocellular carcinoma, a...

Uncovering High-Order Epistatic Interactions in GWAS via a Machine Learning-Based Feature Engineering Framework

Background: Genome wide association studies (GWAS) often fail to identify higher-order epistatic interactions that contribute to complex inheritance p...

De novo transformer modeling improves recovery of genetic cell types from sparse single-cell RNA sequencing

Single-cell RNA sequencing (scRNA-seq) simultaneously provides gene-expression profiles and genetic variants from individual cells, creating an opport...

Contrastive Regulatory Embeddings Attention Model for Differential Expression Prediction with Personalized Genomes: Insights and Challenges

Deep learning models applied to DNA sequences have achieved success in predicting gene expression, chromatin profiles, and variant pathogenicity. Howe...

AI-enabled simultaneous phenotyping of leaf vein and stomatal traits uncovers independent genetic control in maize

Leaves maintain hydraulic homeostasis during photosynthesis through the coordinated action of stomata, which regulate gas exchange and transpiration, ...

Population genomics of four-dimensional cardiac motion reveals non-myocyte regulatory programmes

Genome-wide studies of cardiac structure and function have relied on global imaging metrics that fail to capture the full complexity of myocardial beh...

Unifying Active Learning and Semi-Supervised Learning for Medical Image Segmentation

In practical settings, medical image segmentation models are often developed with limited annotated data rather than fully labeled datasets. Training ...

Jul 27 2026 2607.25014v1
Genetic regulation of right ventricular trabeculation identifies developmental and cardiopulmonary pathways

Right ventricular (RV) trabeculation may reflect adaptation to loading conditions and imprinting of early developmental processes, yet its genetic det...

Browse Categories