Patents by Inventor Jianfeng Gan

Jianfeng Gan 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).

  • Strengthening and tumor eliminating traditional Chinese medicine composition, its preparation method and application
    Patent number: 11524044
    Abstract: This invention provides a strengthening and tumor eliminating traditional Chinese medicine composition, its preparation method and application, which specifically relate to the technical field of the treatment of intermediate and advanced stage and postoperative malignant tumor, wherein the strengthening and tumor eliminating traditional Chinese medicine composition comprises: 8-30 parts of Radix codonopsis, 5-30 parts of Rhizoma atractylodis Macrocephalae, 5-30 parts of Poria cocos, 5-30 parts of Pseudobulb of Appendiculate cremastra, 5-30 parts of Scutellaria barbata, 5-30 parts of Sarcandra glabra, 3-30 parts of peach kernel, 2-30 parts of Ligustrum lucidum, 5-30 parts of Eclipta and 1-20 parts of licorice. This invention also provides a preparation method of the described strengthening and tumor eliminating traditional Chinese medicine composition.
    Type: Grant
    Filed: January 19, 2021
    Date of Patent: December 13, 2022
    Assignee: The First Afiliated Hospital of Guangzhou University of Chinese Medicine
    Inventors: Lizhu Lin, Hongmei Tang, Jianfeng Gan, Detang Li, Lingling Sun
  • STRENGTHENING AND TUMOR ELIMINATING TRADITIONAL CHINESE MEDICINE COMPOSITION, ITS PREPARATION METHOD AND APPLICATION
    Publication number: 20220152143
    Abstract: This invention provides a strengthening and tumor eliminating traditional Chinese medicine composition, its preparation method and application, which specifically relate to the technical field of the treatment of intermediate and advanced stage and postoperative malignant tumor, wherein the strengthening and tumor eliminating traditional Chinese medicine composition comprises: 8-30 parts of Radix Codonopsis, 5-30 parts of Rhizoma Atractylodis Macrocephalae, 5-30 parts of Poria cocos, 5-30 parts of Pseudobulb of Appendiculate Cremastra, 5-30 parts of Scutellaria barbata, 5-30 parts of Sarcandra glabra, 3-30 parts of peach kernel, 2-30 parts of Ligustrum lucidum, 5-30 parts of Eclipta and 1-20 parts of licorice. This invention also provides a preparation method of the described strengthening and tumor eliminating traditional Chinese medicine composition.
    Type: Application
    Filed: January 19, 2021
    Publication date: May 19, 2022
    Inventors: Lizhu Lin, Hongmei Tang, Jianfeng Gan, Detang Li, Lingling Sun
  • LIVE-WORKING ROBOT
    Publication number: 20170152129
    Abstract: The present invention discloses a live-working robot, comprising: a telescopic arm and a working hopper, wherein the working hopper and the telescopic arm are slidably connected along a vertical direction and the telescopic arm is provided with the drive component for driving the working hopper to reciprocate along a vertical direction. The live-working robot provided in the present invention achieves a movement of the working hopper along the vertical direction by slidably connecting the working hopper and the telescopic arm along the vertical direction and providing the telescopic arm with the drive component for driving the working hopper to reciprocate along the vertical direction.
    Type: Application
    Filed: November 23, 2016
    Publication date: June 1, 2017
    Inventors: Li Tan, Wei Song, Xingzhe Hou, Gaolin Wu, Lei Xia, Xian Meng, Hong Xiang, Ke Li, Guangming Wang, Zhiqing Wu, Weiren Shi, Jianfeng Gan, Chengjiang Wang, Dahong Wang, Ri Lin
  • METHOD AND SYSTEM FOR DATA DETECTING OF AN INSTRUMENT
    Publication number: 20160358322
    Abstract: The present application provides a method and a system for detecting data of an instrument.
    Type: Application
    Filed: August 22, 2015
    Publication date: December 8, 2016
    Inventors: Wei Song, Jin FU, Gaolin Wu, Qing Zhou, Bangfei Deng, Lingyun Wan, Qianbo Xiao, Haibing Zhang, Ying Zhang, Wenjie Zhang, Jianfeng Gan, Yuping Wang, Jiaqi Zhang, Haijun Hu, Haipeng Liang