首页|Reports Outline Machine Learning Findings from Fudan University (Rapid Screening of Chemicals With Placental Transfer Risk Using Interpretable Machine Learning)
Reports Outline Machine Learning Findings from Fudan University (Rapid Screening of Chemicals With Placental Transfer Risk Using Interpretable Machine Learning)
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 – A new study on Machine Learning is now available. According to news reporting originatingfrom Shanghai, People’s Repu blic of China, by NewsRx correspondents, research stated, “Assessingthe placent al transfer efficiency of toxic chemicals remains challenging. Here, a robust ma chine learning(ML) model was developed to predict the human fetal-maternal bloo d concentration ratio (F/M) at theexposomic level.”
ShanghaiPeople’s Republic of ChinaAs iaChemicalsCyborgsEmerging TechnologiesMachine LearningFudan Universit y
NETL
NSTL
