Latest AI and machine learning research in autism for healthcare professionals.
Task-based fMRI provides a direct readout of task-evoked neural dynamics, but it is expensive and di...
Background Friedreich ataxia (FRDA) is a rare neurodegenerative disorder with substantial heterogene...
AI-driven chatbots have been utilized in healthcare to automate administrative tasks, improve patien...
Bone marrow adiposity changes radically through the lifespan, but this phenomenon is poorly characte...
The liver plays a central role in systemic metabolism, yet large-scale genetic studies of quantitati...
Children with rare genetic diseases often exhibit distinctive facial phenotypes, yet developing comp...
Circadian behaviors are controlled by dedicated brain pacemaker neurons, whose activity oscillate du...
Purpose: Genetic risk scores (GRSs) are summaries of genetic data that can improve prediction of dis...
Clonal haematopoiesis (CH) becomes ubiquitous as humans age. The role of somatic driver mutations in...
The rise of antibiotic-resistant bacterial infections has driven renewed interest in bacteriophage t...
Functional magnetic resonance imaging (fMRI) data are inherently complex, characterized by high dime...
SCN2A-related disorders result from pathogenic variants in the gene encoding for the voltage-gated s...
Von Economo neurons (VENs) are selectively lost in behavioural-variant frontotemporal dementia (bvFT...
Brain similarity networks (BSNs), extracted from structural magnetic resonance imaging, provide a va...
Copy number variations (CNVs) are major structural genomic variants that contribute to a wide range ...
Behavior arises from the complex interplay between the nervous system, genetics, and the environment...
Drug repurposing offers a cost-effective strategy to accelerate therapeutic discovery, but most comp...
Human behavioral and mental health outcomes arise from interactions among genetic, environmental, an...
Deep learning-based facial phenotyping represents a major paradigm shift in the diagnosis of rare an...
Single-cell transcriptomics transformed our understanding of cellular heterogeneity, yet cross-datas...
Background: Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS...