首页|Xidian University Reports Findings in Machine Learning (Prediction method of pha rmacokinetic parameters of small molecule drugs based on GCN network model)
Xidian University Reports Findings in Machine Learning (Prediction method of pha rmacokinetic parameters of small molecule drugs based on GCN network model)
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 news report- ing originating in Shaanxi, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Accuratelypredi cting plasma protein binding rate (PPBR) and oral bioavailability (OBA) helps to better reveal theabsorption and distribution of drugs in the human body and su bsequent drug design. Although machinelearning models have achieved good result s in prediction accuracy, they often suffer from insufficientaccuracy when deal ing with data with irregular topological structures.”
ShaanxiPeople’s Republic of ChinaAsi aCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineMac hine LearningPharmacokineticsPharmacology
NETL
NSTL
