E-Newsletter: Neuroimaging + machine learning can predict, with 96% accuracy, whether high-risk 6-month-old babies will develop autism spectrum disorder (ASD) by age 2
Researchers use brain imaging and machine learning to predict which high-risk infants will develop autism. Credit: Carolina Institute for Developmental Disabilities.
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Time for SharpBrains’ June e-newsletter, featuring fascinating scientific findings, promising assessments, therapies and brain health monitoring tools…and some fun optical illusions
New research
Study combines neuroimaging with machine learning to predict, with 96% accuracy, whether high-risk 6-month-old babies will develop autism spectrum disorder (ASD) by age 2
Cognitive Training or Gingko Biloba to prevent cognitive decline and dementia? New comprehensive report by the National Academies of Sciences, Engineering, and Medicine clarifies priorities for public health and for future research
Neuroimaging study finds extensive brain rewiring–in just six months–among illiterate adults learning to read and write
Children with ADHD should be reevaluated each year, since attention problems perceived by teachers are far less stable than we imagine
New tools
Mindstrong Health raises $14 million to modernize the diagnosis and treatment of neuropsychiatric disorders via artificial intelligence (AI) and smartphones
The FDA creates new Digital Health unit to reimagine regulatory paths in the age of scalable, AI-enhanced innovation
Neurotech start-up Rythm raises $11 million more to develop and commercialize sleep-monitoring headband Dreem
Savonix raises $5.1 million to commercialize mobile neuroco...
Source: SharpBrains - Category: Neuroscience Authors: SharpBrains Tags: Cognitive Neuroscience Health & Wellness Professional Development Technology adhd artificial intelligence autism autism spectrum disorder brain-enhancement Brain-health Brain-Plasticity BrainFutures cognitive-decline Cognitive-Tr Source Type: blogs
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