New research shows that using robots could help detect early signs of autism or ADHD in infants.
A new statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-based interventions more accurately.
NanoEDGE research project aims at converging production techniques for functionalized electrodes with expertise in nanomaterial fabrication and characterization.
Researchers have created a wearable wrist device for people with autism that monitors physiological indicators such as heart rate, skin surface temperature, and perspiration of stress.
Digital games, typical of those on smartphones, may relieve stress more effectively than mindfulness apps, a new study shows.
New research suggests that the 'BlueIce' app developed at University of Bath could have a significant impact in reducing self-harm in young people.
Researchers have developed a smart material that can help those with affective disorders, such as anxiety, bi-polar disorder and depression, to monitor their emotions.
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
VR can identify early Alzheimer’s disease more accurately than ‘gold standard’ cognitive tests currently in use, suggests new research from the University of Cambridge.
Children with autism improved measurably on a test of socialization and learning when their therapy included an at-home intervention with Google Glass.