首页|Southern Medical University Reports Findings in Machine Learning (Machine learni ng based metabolomic and genetic profiles for predicting multiple brain phenotyp es)
Southern Medical University Reports Findings in Machine Learning (Machine learni ng based metabolomic and genetic profiles for predicting multiple brain phenotyp es)
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 DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsoriginating from Guangzhou, People’s Re public of China, by NewsRx correspondents, research stated, “Itis unclear regar ding the association between metabolomic state/genetic risk score(GRS) and brain volumesand how much of variance of brain volumes is attributable to metabolomi c state or GRS. Our analysisincluded 8635 participants (52.5% fem ales) aged 40-70 years at baseline from the UK Biobank.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesGeneticsMachine LearningRisk and Preven tion
NETL
NSTL
