Posts Tagged ‘machine-learning’
Alphabet’s X shares Amber EEG system to expand the quest for mental health biomarkers
Alphabet’s X details Project Amber, a quest for a single biomarker for depression that fell short of its goal (TechCrunch): Alphabet’s X (the Google-owner’s so-called “Moonshot Factory”) published a new blog post today about Project Amber, a project it’s been working on over the past three years — the results of which it’s now making…
Read MoreMindstrong Health recruits slew of Silicon Valley talent
_______ Mindstrong Health Expands Executive Team to Advance Technology for New Virtual Mental Health Care Model (press release): “Mindstrong Health, a healthcare innovation company dedicated to transforming mental health through innovations in digital measurement and virtual care models, today announced the addition of ten senior executives to its leadership team including CEO Daniel Graf, who…
Read MoreMixed reactions on the development of digital biomarkers and growth of Mindstrong Health
___ (More on the positive side, at MIT Technology Review) The smartphone app that can tell you’re depressed before you know it yourself: “There are about 45 million people in the US alone with a mental illness, and those illnesses and their courses of treatment can vary tremendously. But there is something most of those people…
Read MoreWith two new funding mechanisms, The Chan Zuckerberg Initiative reaches out of neuroscience to expand its Neurodegeneration Challenge Network
___ RFA Now Open: CZI Neurodegeneration Challenge Network (Chan Zuckerberg Initiative release): “The Chan Zuckerberg Initiative invites applications to join the CZI Neurodegeneration Challenge Network, an interdisciplinary collaborative initiative to increase understanding of the fundamental biology of neurodegenerative disorders. Applications are being accepted for two funding mechanisms:
Read MoreE‑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
_____ 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…
Read MoreStudy 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
— A Single Brain Scan Has Been Used to Accurately Predict Autism at Just 6 Months Old (Science alert) “Researchers have used brain scans and artificial intelligence to spot differences in how key areas of infant brains synchronise, allowing them to accurately predict which babies would develop autism spectrum disorder (ASD) as a toddler…The research, led…
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