Neurology

Autism

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

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Genetic Profiling and Early Detection of Type 2 Diabetes Subtypes through Sex-Stratified GWAS and Explainable AI

Type 2 diabetes (T2D) is a complex and clinically heterogeneous disease. Although clustering approac...

Genomics reveals eleven obesity endotypes with distinct biological and phenotypic signatures

Obesity, a leading global risk factor for cardiometabolic conditions, arises from multifaceted and b...

Multimodal Integration of Alzheimer’s Plasma Biomarkers, MRI, and Genetic Risk for Individual Prediction of Cerebral Amyloid Burden

Alzheimer’s disease (AD), the most prevalent neurodegenerative disorder, is marked by the accumulati...

Longitudinal Prediction of BMI using Explainable AI: Integrating Polygenic Scores, Maternal, Early-Life and Familial Factors

This study aimed to predict body mass index (BMI) trajectories from childhood to early adulthood usi...

Prematurity and Genetic Liability for Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by diverse presentati...

Genetic regulation of cell type–specific chromatin accessibility shapes immune function and disease risk

Understanding how genetic variation influences gene regulation at the single-cell level is crucial f...

Sleep as a Modifiable Risk Factor for Childhood Autism: Stratified Analysis of U.S. National Survey of Children’s Health Data

This study aimed to examine the association between age-specific sleep sufficiency and autism spectr...

Antisense oligonucleotide depletion of CCDC146 is a broad-spectrum therapeutic strategy for ALS

Amyotrophic lateral sclerosis (ALS) is a heritable and incurable disease defined by the degeneration...

Data-driven modelling of tau pathology reveals distinct progressive supranuclear palsy subtypes

Progressive supranuclear palsy (PSP) is a heterogeneous neurodegenerative disease characterised by t...

Predicting Mental and Psychomotor Delay in Very Pre-term Infants using Large Language Models

Very preterm infants face a considerably higher risk of neurodevelopmental delays, making early diag...

Classification of familial and non-familial ADHD using auto-encoding network and binary hypothesis testing

Family history is one the most powerful risk factor for attention-deficit/hyperactivity disorder (AD...

Whole-genome sequencing analysis of left ventricular structure and sphericity in 80,000 people

Sphericity is a measurement of how closely an object approximates a globe. The sphericity of the blo...

Development and validation of electronic health record-based ascertainment of obsessive-compulsive disorder cases and controls

Obsessive-compulsive disorder (OCD) is a common psychiatric disorder, with two-thirds of affected in...

Signal Mining and Analysis of Adverse Events of Isotretinoin: 20-year real-world pharmacovigilance analysis based on the FAERS database

To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...

Refining the genetic landscape of anophthalmia and microphthalmia: a comprehensive framework with deep learning and updated gene panels

Anophthalmia and microphthalmia (A/M) are rare congenital eye disorders with a low molecular diagnos...

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