Latest AI and machine learning research in autism for healthcare professionals.
Magnetic resonance imaging of fetal and neonatal brains reveals rapid neurodevelopment marked by s...
Aegilops tauschii Coss., a progenitor of bread wheat, is an important wild genetic resource for bree...
For the immanent challenge of insufficiently annotated samples in the medical field, semi-supervis...
Accurate Autism Spectrum Disorder (ASD) diagnosis is vital for early intervention. This study pres...
Biomolecular networks, such as protein-protein interactions, gene-gene associations, and cell-cell...
Among the genetic algorithms generally used for optimization problems in the recent decades, quant...
Active speaker detection (ASD) in egocentric videos presents unique challenges due to unstable vie...
Recent studies have shown that integrating multimodal data fusion techniques for imaging and genet...
Many motion-centric video analysis tasks, such as atomic actions, detecting atypical motor behavio...
Purpose: Accurate segmentation of clinical target volumes (CTV) and organs-at-risk is crucial for ...
Pharmacogenetics is a promising strategy to facilitate individualized care for patients with Major D...
OBJECTIVES: The resting-state cerebral functional activity underlying chronic insomnia disorder (CID...
Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) have reshaped the treatment paradigm of hormone rec...
BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with increasing prevalen...
Recently, functional magnetic resonance imaging (fMRI)-based brain networks have been shown to be an...
The existing assessment of adjacent segment degeneration (ASD) risk after lumbar fusion surgery focu...
The performance and long-term health of athletes are significantly influenced by their cardiovascula...
Integrating data science techniques, including machine learning, natural language processing, and bi...
Genomic prediction (GP) aims to predict the breeding values of multiple complex traits, usually assu...
Magnetic resonance imaging (MRI), as a non-invasive detection method, is crucial for the clinical di...
OBJECTIVE: The aim of this study was to develop and compare 4 predictive algorithms, including logis...