IAIM-AMR
Volume 1 | Issue 5 | 2025 Pages 57-61

AI Empowerment of Innovative Research Model and Application for Immunology Graduate Students

Ke Cao, Yifan Zhang, Long Luo, Wei Wang, Tao Zhang

Received: October 24, 2025 Accepted: November 5, 2025 Published: November 9, 2025

ABSTRACT

AI technology has shown great potential in the field of immunology research. In order to better promote its application and development, AI learning can be carried out in groups. In terms of specific operation, taking the postgraduate project as an opportunity, the postgraduate students were organized to plan the project around the application direction of AI in immunological research, and master AI technology in practice. Graduate students are encouraged to participate in Internet+competitions, innovation and entrepreneurship projects, deeply integrate AI technology with immunology research, and enhance the competitiveness of the project. At the same time, in the way of undergraduate students with graduate students, undergraduate students give full play to their advantages in AI basic programming and algorithm learning, and help graduate students quickly get started in AI technology. Graduate students rely on immunological expertise and research experience to guide undergraduates to understand the needs of immunological research, and the two cooperate with each other. Through these ways, we can help graduate students to skillfully use AI technology in immunological research and promote scientific research innovation in this field.