摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者在加州埃德蒙顿的新闻报道，研究表明：“通过将Machin E学习算法应用于神经影像学数据，脑年龄方法学可以提供有用的个人层面的生物年龄预测，并确定负责预测的关键区域。”我们介绍了使用机器学习算法构建恒河猴大脑年龄模型的方法，并讨论了与人类大脑相比的关键预测大脑区域，以阐明跨物种灵长类动物的相似性和差异性。这项研究的财政支持者包括B Rain&Behavior Research Foundation、Alberta Innovates、MITACS Accelerate Program、Simon&Martina Sochat Sky心理健康基金、Howard Berger纪念精神分裂症研究基金、Abraham&Freda Berger纪念捐赠基金、Alberta Alz-Heimer’s和相关疾病艾伯塔阿尔茨海默氏症及相关疾病协同作用-艾伯塔和西北地区阿尔茨海默学会，艾伯塔大学神经科学和心理健康研究所，MITACS加速计划，国家卫生研究所(NIH)-美国。
Abstract
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.
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