首页|Findings from University of Alberta Yields New Data on Machine Learning (Brain A ge of Rhesus Macaques Over the Lifespan)
Findings from University of Alberta Yields New Data on Machine Learning (Brain A ge of Rhesus Macaques Over the Lifespan)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Edmonton, Ca nada, by NewsRx journalists, research stated, “Through the application of machin e learning algorithms to neuroimaging data the brain age methodology was shown t o provide a useful individual-level biological age prediction and identify key b rain regions responsible for the prediction. In this study, we present the metho dology of constructing a rhesus macaque brain age model using a machine learning algorithm and discuss the key predictive brain regions in comparison to the hum an brain, to shed light on cross-species primate similarities and differences.” Financial supporters for this research include Young Investigator Grant of The B rain & Behavior Research Foundation, Alberta Innovates, Mental Hea lth Foundation, MITACS Accelerate pro-gram, Simon & Martina Sochat sky Fund for Mental Health, Howard Berger Memorial Schizophrenia Research Fund, Abraham & Freda Berger Memorial Endowment Fund, Alberta Synergies in Alz-heimer’s and Related Disorders, University Hospital Foundation, Universit y of Alberta, Alberta Synergies in Alzheimer’s and Related Disorders - Alzheimer Society of Alberta and Northwest Territories, Neuroscience and Mental Health In stitute at the University of Alberta, MITACS Accelerate program, National Instit utes of Health (NIH) - USA.
EdmontonCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningUniversity of Alberta
NETL
NSTL
