Latest AI and machine learning research in autism for healthcare professionals.
BACKGROUND: A growing body of anecdotal evidence indicates that the use of robots may provide unique...
We propose an effective machine learning approach to identify group of interacting single nucleotide...
The genetic analysis of complex traits does not escape the current excitement around artificial inte...
Autism Spectrum Disorder (ASD) affects approximately 1% of the population and leads to impairments i...
We present a new method to identify anatomical subnetworks of the human connectome that are optimall...
Although standard behavioral interventions for autism spectrum disorder (ASD) are effective therapie...
INTRODUCTION: Many chronic disorders have genomic etiology, disease progression, clinical presentati...
The main aim of this research work was to develop and validate a novel graphical user interface base...
The identification of disease-related genes and disease mechanisms is an important research goal; ma...
Multiplex quantitative polymerase chain reaction (qPCR) has found an increasing range of application...
In view of high mortality associated with coronary artery disease (CAD), development of an early pre...
In recent decades, artificial intelligence and machine learning have played a significant role in in...
Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. Gen...
Algorithms that learn through environmental interaction and delayed rewards, or reinforcement learni...
Route optimization of hazardous materials transportation is one of the basic steps in ensuring the s...
Autism spectrum disorder (ASD) is an age- and sex-related neurodevelopmental disorder that alters th...
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have revolutionized cardiovas...
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decr...
Genome-wide association studies (GWAS) have successfully discovered a number of disease-associated g...
Graphs are widely used as a natural framework that captures interactions between individual elements...
BACKGROUND: Past studies have shown that robot-based intervention was effective in improving gestura...