首页|National Institutes for Food and Drug Control Reports Findings in Machine Learni ng (Comprehensive Analysis of Bile Medicines Based on UHPLC-QTOF-MSE and Machine Learning)
National Institutes for Food and Drug Control Reports Findings in Machine Learni ng (Comprehensive Analysis of Bile Medicines Based on UHPLC-QTOF-MSE and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Based on UHPLC-QTOF-MS analy sis and quantized processing, combined with machine learning algorithms, data mo deling was carried out to realize digital identification of bear bile powder (BB P), chicken bile powder (CIBP), duck bile powder (DBP), cow bile powder (CBP), s heep bile powder (SBP), pig bile powder (PBP), snake bile powder (SNBP), rabbit bile powder (RBP), and goose bile powder £. First, 173 batches of bile samples w ere analyzed by UHPLC-QTOF-MS to obtain the retention time-exact mass (RTEM) dat a pair to identify bile acid-like chemical components.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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