Patents by Inventor Qiaoqin LI

Qiaoqin LI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250232879
    Abstract: A method for predicting adverse drug reactions based on temporal association analysis, in the field of biomedicine, is disclosed. The method analyzes temporal associations and/or relationships between symptoms, drugs, and adverse reactions at different times, based on temporal sequences of patients' symptoms, the drugs, and the adverse reactions after illness, revealing the association between adverse reactions at the current time and the symptoms, drugs, and adverse reactions at a previous time, and combines the potential relationships between the symptoms, multi-attribute information of the drugs, and the adverse reactions to construct a predictive model for adverse drug reactions based on temporal association analysis, revealing the temporal relationship of adverse drug reactions.
    Type: Application
    Filed: August 6, 2024
    Publication date: July 17, 2025
    Inventors: Yongguo LIU, Jiajing ZHU, Yun ZHANG, Qiaoqin LI, Zhi CHEN
  • Publication number: 20250174308
    Abstract: A method for predicting adverse reactions between drugs based on multi-attribute and multi-kernel representation learning is provided.
    Type: Application
    Filed: April 29, 2024
    Publication date: May 29, 2025
    Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
    Inventors: Yongguo LIU, Jiajing ZHU, Qiaoqin LI, Yun ZHANG, Zhi CHEN
  • Publication number: 20240347139
    Abstract: Disclosed are a method, an apparatus, and a device for predicting adverse drug-drug interactions, and a readable storage medium, and relates to the technical field of pharmaceutical research and development. An objective of the present application is to provide the method, apparatus, and device for predicting adverse drug-drug interactions, and the readable storage medium for solving the above problems. To achieve the above objective, a technical solution adopted by the present application is as follows: acquiring first information; constructing an adverse drug-drug interaction prediction model according to the first information; acquiring second information, where the second information is molecular structure information of two drugs to be predicted; and outputting predicted adverse drug-drug interactions with the second information as an input into the adverse drug-drug interaction prediction model.
    Type: Application
    Filed: December 8, 2023
    Publication date: October 17, 2024
    Applicant: University of Electronic Science and Technology of China
    Inventors: Jiajing ZHU, Yongguo LIU, Zhi CHEN, Yun ZHANG, Qiaoqin LI, Xin LU
  • Publication number: 20240170104
    Abstract: The present invention discloses the method and system for predicting adverse drug-drug interactions by recovering the multi-attribute information of drugs and the medium. The method includes: collecting adverse drug-drug interactions data and multi-attribute data of drugs; constructing the recovery model of multi-attribute absent feature of drugs; correcting the recovery model of multi-attribute absent feature of drugs by the cosine similarity regularization term, and solving the corrected recovery model to obtain the common features and unique features of multi-attribute information of drugs; obtaining the multi-attribute information of two drugs, calculating common features and unique features of their multi-attribute information as the inputs of the prediction model to predict their adverse drug-drug interactions.
    Type: Application
    Filed: May 30, 2023
    Publication date: May 23, 2024
    Inventors: Jiajing ZHU, Yongguo LIU, Yun ZHANG, Qiaoqin LI, Zhi CHEN