Robotics & Machine Learning Daily News2024,Issue(Apr.19) :100-101.

Findings in the Area of Machine Learning Reported from Hanoi University of Pharm acy (Towards Safer and Efficient Formulations: Machine Learning Approaches To Pr edict Drug-excipient Compatibility)

Robotics & Machine Learning Daily News2024,Issue(Apr.19) :100-101.

Findings in the Area of Machine Learning Reported from Hanoi University of Pharm acy (Towards Safer and Efficient Formulations: Machine Learning Approaches To Pr edict Drug-excipient Compatibility)

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Abstract

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 originating from Hanoi, Vietn am, by NewsRx correspondents, research stated, “Predicting drugexcipientcompat ibility is a critical aspect of pharmaceutical formulation design. In this study , weintroduced an innovative approach that leverages machine learning technique s to improve the accuracy ofdrug-excipient compatibility predictions.”

Key words

Hanoi/Vietnam/Asia/Cyborgs/Emerging Technologies/Machine Learning/Hanoi University of Pharmacy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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