Latest AI and machine learning research in autism for healthcare professionals.
The last five decades have witnessed significant improvement in diagnostics, treatment and managemen...
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases, su...
Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children...
To explore the minds of others, which is traditionally referred to as Theory of Mind (ToM), is perha...
Several molecular and phenotypic algorithms exist that establish genotype-phenotype correlations, in...
UNLABELLED: Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disord...
This study focused on the development and initial psychometric evaluation of a set of online, webcam...
Facial analysis technology in rare diseases has the potential to shorten the diagnostic odyssey by p...
Deformable medical image registration is an essential preprocess step for several clinical applicati...
The transition from analog to digital technologies in clinical laboratory genomics is ushering in an...
BACKGROUND: It has been recently shown that deep learning models exhibited remarkable performance of...
Utilizing large-scale epigenomics data, deep learning tools can predict the regulatory activity of g...
The genetic etiology of brain disorders is highly heterogeneous, characterized by abnormalities in t...
Early disease detection and prevention methods based on effective interventions are gaining attentio...
Many complex diseases share common genetic determinants and are comorbid in a population. We hypothe...
Genomic data and machine learning approaches have gained interest due to their potential to identify...
This review discusses the use of artificial intelligence (AI) algorithms in noninvasive prediction o...
BACKGROUND: The diagnosis of rare genetic diseases is often challenging due to the complexity of the...
BACKGROUND: Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders characterize...
The current practices of designing neural networks rely heavily on subjective judgment and heuristic...
The design of a metasurface array consisting of different unit cells with the objective of minimizin...