Latest AI and machine learning research in adhd/add for healthcare professionals.
The hybrid assistive limb (HAL) provides motion assistance based on bioelectrical signals detected o...
The fast identification and quantification of illicit drugs in biofluids are of great significance i...
BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutri...
Synapses are fundamental information-processing units of the brain, and synaptic dysregulation is ce...
A psychological disorder is a mutilation state of the body that intervenes the imperative functionin...
BACKGROUND: Online dictionary learning (ODL) has been applied to extract brain networks from functio...
Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that has heavy cons...
Adolescent binge drinking has been associated with higher risks for the development of many health p...
The electroencephalogram (EEG) is an informative neuroimaging tool for studying attention-deficit/hy...
Prediction of biological and toxicological properties of small molecules using in silico approaches ...
Hubel and Wiesel's study about low areas of the visual cortex (VC) inspired deep models for invarian...
Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or conn...
Efficient human promoter feature extraction is still a major challenge in genome analysis as it can ...
Positron emission tomography (PET) imaging is a useful tool for assisting in correct differentiatio...
Graph-based embedding methods are very useful for reducing the dimension of high-dimensional data an...
Heart failure and restrictive respiratory insufficiency are complications in muscular dystrophies. W...
Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in...
In the recent 5Â years (2014-2018), there has been growing interest in the use of machine learning (M...
The availability alongside growing awareness of medicine has led to increased self-treatment of mino...
BACKGROUND Aryl-carbon receptor (AhR), a ligand-activated transcription factor, is best known for it...
Industry 4.0 is an innovation framework launched initially at the 2011 Hanover Fair in Germany. It i...