Dynamic network prediction and translation application of technological opportunities for radiopharmaceuticals
SUN Yu-xuan
GUAN Yi-lan
LIU Yun-ting
YUAN Hong-mei
Abstract：Objective:The link prediction analysis explores the technological frontier of radiopharmaceuticals,identifies potential technological opportunities,and provides a scientific basis for R&D decision-making.Methods:This study constructed a prediction analysis framework containing four modules:patent text mining based on TF-IDF;constructing a keyword co-occurrence network and analyzing network characteristics and interaction trends;identifying potential technological opportunities by using similarity-based link prediction algorithms;and evaluating technological opportunities through indicators such as growth rate and technological influence.Results:It was found that the patent data from 1969-2023 indicated a continuous innovation trend in the field of radiopharmaceuticals;the network analysis showed that the technology interactions showed small-world characteristics and a high degree of technology interactions;the link prediction results identified multiple potential technological opportunities,and the drugs were found to have a significant potential for associating with Trop2,CD47,and so on.Conclusion:The recommendation results derived from the link prediction algorithm can provide decision-making reference for enterprise cooperation and provide references for researchers to select research direction.
Keywords：radiopharmaceuticalspatent data analysistechnology life cycleco-occurrence network analysislink predictiontechnology opportunity discovery
Publication Date：2026-02-28
Online Publishing Date：2026-08-14(First online date of this platform, not the publication date of the document)
Pages：8( 337-344 )