Neurology

Autism

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

9,821 articles
Stay Ahead - Weekly Autism research updates
Subscribe
Browse Categories
Showing 1975-1995 of 9,821 articles
Integrative multiomic analysis on single-nucleotide variants identifies candidate genes for human craniofacial malformation

Craniofacial malformation (CFM) is a congenital defect encompassing a wide range of phenotypic prese...

From movement to cognitive maps: recurrent neural networks reveal how locomotor development shapes hippocampal spatial coding

The hippocampus contains neurons whose firing correlates with an animal’s location and orientation i...

The expression level of CACNA1C-encoded CaV1.2 is a tipping point between promotion and inhibition of dendritic growth in neurons

The CACNA1C gene encodes the CaV1.2 L-type voltage-gated calcium channel, which plays a crucial role...

An Explainable Knowledge Graph-Driven Approach to Decipher the Link Between Brain Disorders and the Gut Microbiome

The communication between the gut microbiome and the brain, known as the microbiome-gut-brain axis (...

Plant Face: Machine learning decodes genetic, environmental and developmental imprints in leaf appearance

Leaf appearance is a crucial plant phenotype. However, traditional methods for extracting this infor...

Benchmarking Chemical, Genetic, and Cell Line Encodings for Cancer Perturbation Response Prediction

Estimating the response of tumor cells to specific perturbations is crucial for identifying effectiv...

The Inherited Retinal Disease Pathway in the United Kingdom: a Patient Perspective and the Potential of AI

Inherited Retinal Diseases (IRDs) are the leading cause of blindness in young people in the UK. Desp...

Enhancing Rare Disease Education through AI-Driven Podcast Generation

Rare diseases, including many rare genetic epilepsies and neurodevelopmental disorders, present sign...

Neuroprognostication via Spatially-Informed Machine Learning Following Hypoxic-Ischemic Injury

Can machine learning be used to reliably and accurately predict 18-month developmental outcomes from...

Assessing Large Language Model Performance Related to Aging in Genetic Conditions

Unlike some health conditions that have been extensively delineated throughout the lifespan, many ge...

Assessing Inflammatory Protein Biomarkers in COPD Subjects with and without Alpha-1 Antitrypsin Deficiency

Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in C...

Predicting Seizures Episodes and High-Risk Events in Autism Through Adverse Behavioral Patterns

To determine whether historical behavior data can predict the occurrence of high-risk behavioral or ...

The genetics of TDP43-Type-C neurodegeneration: a whole genome sequencing study

Frontotemporal lobar degeneration-TDP Type C (TDP-C) is a unique neurodegenerative disease that star...

An Interpretable Sparse Graph Contrastive Learning Approach for Identifying Breast Cancer Risk Variants

Genome-wide association studies (GWASs) have identified over 2,400 genetic variants associated to br...

Leveraging hierarchical structures for genetic block interaction studies using the hierarchical transformer

Initially introduced in 1909 by William Bateson, classic epistasis (genetic variant interaction) ref...

A Case for Automated Segmentation of MRI Data in Milder Neurodegenerative Diseases

Volumetric analysis and segmentation of magnetic resonance imaging (MRI) data is an important tool f...

Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study

Deep Learning (DL) has emerged as a powerful tool to predict genetic biomarkers directly from digiti...

MUTATE: A Human Genetic Atlas of Multi-organ AI Endophenotypes using GWAS Summary Statistics

Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...

Browse Categories