Research on the Strategy of Optimizing Biochemical Experiment Schemes with DeepSeek

Zhang Ming(Haiyuan College, Kunming Medical University)
Peng Ji(Haiyuan College, Kunming Medical University)

Abstract

As biochemical experiments are constantly deepening, the complexity and scale of experimental scheme design has now burst out in an explosive way, which made traditional optimization methods significantly bottlenecking. DeepSeek technology relies on superior data processing abilities and intelligent analysis methods, becoming a key tool to optimize experimental plan.This paper aims to introduce the application mechanism of DeepSeek in biochemical test scheme, and detail and explain the basic principles, integration approaches and optimization measures of DeepSeek.By orderly sorting of design content of the scheme and technology deep integration, the efficiency and accuracy of the experiment are greatly improved, and will give more support to the scheme design of complex experiment environment and scientific and intelligent process of experiment operation.

Keywords

DeepSeek Biochemistry Experiment Scheme strategy

References

Yao Xincheng, Jiang Zhou, Wu Guanru, Wang Wei, Yang Yun. Thoughts and Practices on the Reform of Biochemistry Experiment Teaching in Traditional Chinese Medicine Colleges and Universities - Combined with the Newly Revised Talent Cultivation Program [J]. Journal of Chengdu University of Traditional Chinese Medicine (Education Science Edition), 2023, 25 (01): 47-49.

Xue Yufei, Zhang Hecui, Li Bangxiu, Yang Kun, Zhang Jiankui. Discussion on the Teaching Reform of Basic Biochemistry Experiment Course under the Background of New Agricultural Science [J]. Modern Vocational Education, 2021, (15): 20-21.

Wang Zhuting, Li Hongmei, Lei Tingwen. Exploration and Practice of Design-oriented Experiments in the Teaching of "Biochemical Experiments" [J]. Educational Teaching Forum, 2020, (33): 240-242.

DOI: http://dx.doi.org/10.26549/jams.v8i2.33846