AI在RNA提取与重组DNA技术实验中的应用  

The Application of AI in RNA Extraction and Recombinant DNA Technology Experiments

作　　者：王延蛟 Wang Yanjiao(Department of Biochemistry and Molecular Biology,School of Basic Medical Sciences,Xinjiang Medical University,Xinjiang Key Laboratory of Molecular Biology of Endemic Diseases,Xinjiang Urumqi,830017)

机构地区：[1]新疆医科大学基础医学院生物化学与分子生物学教研室,新疆地方病分子生物学重点实验室,新疆乌鲁木齐830017

出　　处：《新疆维吾尔医学专科学校学报》2024年第4期106-110,共5页

基　　金：新疆维吾尔自治区天山英才项目“piRNA、PIWIL/piRNA通路在大鼠肝癌病证模型中的作用研究”(No.2021233);新疆医科大学博士启动基金(No.B202101)阶段性研究成果。

摘　　要：随着AI技术的发展,其在多个领域的应用日益广泛。AI在分子生物学实验教学的引入为提升教学质量提供了可能。作者以RNA提取与重组DNA技术实验的融合探讨了AI在分子生物学实验课中的应用。通过智能实验指导、数据自动处理以及预测性,AI能够为学生提供个性化的学习帮助,以提高实验的准确性和效率。AI不仅促进了不同实验的衔接,也提升了学生的实验技能与科学素养。通过实践案例和数据分析,本文剖析了AI技术在实验教学中的作用,希望能为教学改革提供参考。With the development of artificial intelligence(AI)technology,its integration into diverse domains has witnessed significant augmentation.The introduction of AI in molecular biology experimental teaching provides a possibility for enhancing teaching quality.The author explores the application of AI in molecular biology experiment courses through the integration of RNA extraction and recombinant DNA technology experiments.By harnessing intelligent experimental guidance,automated data processing,and predictive functionalities,AI is capable of offering students tailored learning support,thereby optimizing the precision and efficiency of experimental endeavors.Furthermore,AI facilitates the interlinkage of vari-ous experiments,augmenting students'experimental proficiency and scientific literacy.This article exam-ines the pivotal role of AI technology in experimental teaching through practical case studies and data anal-ysis,aiming to serve as a valuable reference for educational reform initiatives.

关 键 词：人工智能 分子生物学实验 教学改革 

分 类 号：R331[医药卫生—人体生理学]