Researchers report Xenobots, a computer-designed, hand-assembled organism can find and gather single cells, and assemble "baby" Xenobots. After a few days, the immature Xanobots can also find cells and replicate themselves.
People report spending more time relaxing and enjoying nature as a result of the coronavirus pandemic. Women, especially, report spending more time outdoors during the pandemic.
Microscopic 'xenobots' created from frog embryo stem cells promise advances from drug delivery to neurological waste clean up.
Obese children tend to have a thinner prefrontal cortex and cerebral cortex. The findings could explain why there is a correlation between obesity in children and decreased executive function.
Tracking eye movement and pupil dilation in those with level 3 Autism helped assess true language abilities.
Adding exercise as a treatment for patients in psychiatric care facilities has positive benefits and is proving to be more effective than medications or psychotherapy alone. Exercise helps reduce mental health disorder symptoms such as anxiety, depression, anger and psychomotor agitation. Researchers say exercise also helps to develop a more balanced and integrated sense of self for those with mental health disorders.
Eye tracking and EEG may help to assess vocabulary knowledge in those on the autism spectrum.
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An auditory-based machine learning algorithm was able to identify children diagnosed with depression and anxiety with 80% accuracy after analyzing recordings of their speech. The algorithm identified eight audio features that signify a higher risk of depression. Of these, a lower pitch of voice, repeatable speech inflections and a higher pitch response to surprise stimuli, were more indicative of depression. Researchers hope to develop a smartphone app that records and analyzes speech immediately, helping to better detect children at risk of internalizing disorders.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience ArticlesPsychology
··5 min readResearchers combine a newly developed wearable motion sensor with deep learning technology to distinguish between children with anxiety or depression, and those without.
