Latest AI and machine learning research in autism for healthcare professionals.
We encountered a 55-year-old Japanese man with advanced renal cell carcinoma and slowly progressive ...
We present a dataset of behavioral data recorded from 61 children diagnosed with Autism Spectrum Dis...
Following prolonged swimming, cycle between active swimming bouts and inactive quiescent bouts. Swi...
In this study, pectinase-assisted extraction of cashew apple juice was modeled and optimized using a...
Genetic studies have recently highlighted the importance of fat distribution, as well as overall adi...
DNA methylation change has been useful for cancer biomarker discovery, classification, and potential...
Large-scale, sometimes nationwide, prospective genomic cohorts biobanking rich biological specimens ...
Spray drying is commonly used to produce amorphous solid dispersions (ASD) to improve the bioperform...
Imaging technology and machine learning algorithms for disease classification set the stage for high...
Agent-based approaches have been known to be appropriate as systems and methods in medical administr...
The initiation of social interaction is often defined as a core deficit of autism spectrum disorder....
Locomotion of earthworm-like metameric robots results from shape changes of deformable segments. Mor...
Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environm...
The Alzheimer's Disease Neuroimaging (ADNI) database is an expansive undertaking by government, acad...
PURPOSE: Technological advances in robotics have brought about exciting developments in different ar...
Autism spectrum disorders (ASDs) are heterogeneous neurodevelopmental conditions. In fMRI studies, i...
Personalized medicine, or the tailoring of health interventions to an individual's nuanced and often...
Many expression quantitative trait loci (eQTL) studies have been conducted to investigate the biolog...
Disease diagnosis is a critical task which needs to be done with extreme precision. In recent times,...
OBJECTIVES: We aimed to evaluate the ability of feed-forward neural networks (fNNs) to predict the n...
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. ...