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DeepSeek Powered Solid Dosage Formulation Design and Development by Lin, Leqi; Zhou, Xingyu; Yang, Kaiyuan; Chen, Xizhong is a scholarly article available to read on EtoBox.

What is DeepSeek Powered Solid Dosage Formulation Design and Development about?

Pharmaceutical process design and development for generic, innovative, or personalized drugs have always been a time-consuming, costly, rigorous process, that involves multi-stage evaluation for better quality control and assurance. Large language models (LLMs), a type of generative artificial intelligence system, can augment laboratory research in the pharmaceutical engineering process by helping scientists to extract knowledge from literature, design parameters, and collect and interpret experimental data ultimately accelerating scientific discovery. LLMs with prompt engineering technologies change the researchers thinking protocol from traditional empirical knowledge to streamlined thinking that connects the performance and structured parameters together. In this work, we investigate and evaluate how prompt engineering technologies can enhance the drug design process from different strategies such as zero-shot, few-shot, chain-of-thought, etc. The dissolution profile for specific drugs is predicted and suggested from the LLMs model. Furthermore, the fundamental physical properties such as PSD, aspect ratio, and specific surface area could be inversely designed from the LLMs mode

Author

Lin, Leqi; Zhou, Xingyu; Yang, Kaiyuan; Chen, Xizhong

Published

2025

Language

EN