首页|Data on Machine Learning Discussed by Researchers at Southeast University (Machi ne Learning With Active Pharmaceutical Ingredient/polymer Interaction Mechanism: Prediction for Complex Phase Behaviors of Pharmaceuticals and Formulations)
Data on Machine Learning Discussed by Researchers at Southeast University (Machi ne Learning With Active Pharmaceutical Ingredient/polymer Interaction Mechanism: Prediction for Complex Phase Behaviors of Pharmaceuticals and Formulations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting from Nanjing, People's Repu blic of China, by NewsRx journalists, research stated, “The high throughput pred iction of the thermodynamic phase behavior of active pharmaceutical ingredients (APIs) with pharmaceutically relevant excipients remains a major scientific challenge in the screening of pharmaceutical formulations.”
NanjingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSoutheast University
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