Robotics & Machine Learning Daily News2024,Issue(Dec.25) :32-32.

Studies from Tianjin University of Traditional Chinese Medicine Yield New Data o n Machine Learning (Prediction of Drug Dissolution From Sustained-release Pellet By a Portable Near-infrared Spectrometer)

Robotics & Machine Learning Daily News2024,Issue(Dec.25) :32-32.

Studies from Tianjin University of Traditional Chinese Medicine Yield New Data o n Machine Learning (Prediction of Drug Dissolution From Sustained-release Pellet By a Portable Near-infrared Spectrometer)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Tianjin, People’s Repub lic of China, by NewsRx journalists, research stated, “Dissolutionproperties ar e critical assessment targets to be examined in the development of sustained-rel ease pellets.Comprehensively understanding the dissolution behavior of the drug , followed by appropriate formulationadjustment, is essential to enhance the pr oduct quality consistency.”

Key words

Tianjin/People’s Republic of China/Asi a/Cyborgs/Drugs and Therapies/Emerging Technologies/Machine Learning/Tianji n University of Traditional Chinese Medicine

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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