首页|University College London (UCL) School of Pharmacy Reports Findings in Machine L earning (Machine learning of Raman spectra predicts drug release from polysaccha ride coatings for targeted colonic delivery)
University College London (UCL) School of Pharmacy Reports Findings in Machine L earning (Machine learning of Raman spectra predicts drug release from polysaccha ride coatings for targeted colonic delivery)
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 newsreporting out of London, United Kingdom , by NewsRx editors, research stated, “Colonic drug deliveryoffers numerous pha rmaceutical opportunities, including direct access to local therapeutic targets anddrug bioavailability benefits arising from the colonic epithelium’s reduced abundance of cytochrome P450enzymes and particular efflux transporters. Current workflows for developing colonic drug delivery systemsinvolve time-consuming, low throughput in vitro and in vivo screening methods, which hinder the identification of suitable enabling materials.”
LondonUnited KingdomEuropeCyborgsDrug DeliveryDrug Delivery SystemsDrugs and TherapiesEmerging Technologie sMachine Learning