Abstract:The simultaneous analysis of the temporal and contextual interaction between science and technology can unveil the underlying correlation patterns between the two domains. However, currently there is a dearth of relevant research in this area, making it challenging to identify the fundamental themes within this field. In view of this, a method for identifying the evolutionary patterns of science and technology is proposed. The global main paths of scientific literature and patent literature are extracted respectively by using the search path node pair algorithm. The text mining is carried out by using the Lejeune Dirichlet allocation and combining with expert opinions to extract the key topics of scientific research and technological research. In addition, similar topics in scientific literature and patent literature are connected based on the co-occurrence frequency of topic words, and presented in the form of Sankey diagram. The relationship between science and technology is identified from the perspective of topics, and the interaction mode between science and technology in the field is discussed. On this basis, the value of science and technology is comprehensively considered, and core technologies are excavated.The empirical findings in the field of genetically engineered vaccines demonstrate a symbiotic relationship between scientific research and technical application. The advancement of fundamental genetic engineering technologies facilitates the utilization of genetically engineered vaccines across various disease domains, particularly in the realm of anti-infection. mRNA vaccines have emerged as a novel focal point of investigation