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)

Robotics & Machine Learning Daily News2024，Issue(Mar.25) ：17-17.

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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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Abstract

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.”

Key words

Nanjing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Southeast University

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出版年

2024

Robotics & Machine Learning Daily News

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