Patents by Inventor Guangyan Yu

Guangyan Yu 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: 20240379242
    Abstract: A method for prognostic survival stage prediction based on machine learning includes acquiring patients' original information data within a previous preset time period and integrating the patients' original information data so as to obtain a first data set without recurrence time and a second data set with recurrence time; performing analysis based on preoperative information, postoperative information and survival status of each corresponding patient, so as to obtain a correlation degree among the preoperative information, the postoperative information and the survival status; and training in the first data set, so as to obtain a postoperative survival probability prediction model. The method includes training in the second data set, so as to obtain a survival time period prediction model if judging that a survival probability of a target patient is less than or equal to a preset value according to the postoperative survival probability prediction model.
    Type: Application
    Filed: July 25, 2024
    Publication date: November 14, 2024
    Inventors: Xin PENG, Haihui WANG, Mengqi JIA, Xuechao WANG, Min GAO, Guangyan YU, Wenbo ZHANG, Wen DU, Yao YU, Peng YE
  • Patent number: 7697976
    Abstract: The invention relates to a non-invasive method to diagnose the changes of molecular structures of organism tissues from body surface and a dedicated apparatus. The apparatus is comprised of a Fourier Transform infrared spectrometer and a set of additional accessories. Said additional accessories include a mid-IR fiber optics sampling attachment, a fiber coupling part, and an infrared detector part. The detection method is comprised of placing the ATR probe of the dedicated apparatus on the skin surface of a region to be tested, and scanning more than one time in which the resolution of the apparatus is 1-32 cm?1 and the range of the spectrum is 800-4000 cm?1. It is possible to detect changes in molecular structures of living biological tissues in the early stages of cancer, and testees will not feel uncomfortable during testing. The method is easy to operate, quick, accurate, and it doesn't harm the body.
    Type: Grant
    Filed: January 18, 2005
    Date of Patent: April 13, 2010
    Assignees: Peking University, Beijing Second Optical InstrumentFacotry
    Inventors: Jinguang Wu, Yuanfu Zhang, Yizhuang Xu, Qingbo Li, Shifu Weng, Limin Yang, Li Zhang, Weijin Zhou, Zhanlan Yang, Weihong Li, Huizhong Wu, Rongye Gong, Xuejun Gao, Duanfu Xu, Ying Zhao, Zhi Xu, Nengwei Zhang, Lixin Wang, Kaihua Sun, Xin Peng, Yufeng Liu, Xuejun Sun, Xiaofeng Ling, Su Zhou, Zhi Liu, Guoqiao Lai, Jianxiong Jiang, Qinghua Pan, Qiguang Wu, Guangyan Yu, Bingbing Wang
  • Publication number: 20080228083
    Abstract: The invention relates to a non-invasive method to diagnose the changes of molecular structures of organism tissues from body surface and a dedicated apparatus. The apparatus is comprised of a Fourier Transform infrared spectrometer and a set of additional accessories. Said additional accessories include a mid-IR fiber optics sampling attachment, a fiber coupling part, and an infrared detector part. The detection method is comprised of placing the ATR probe of the dedicated apparatus on the skin surface of a region to be tested, and scanning more than one time in which the resolution of the apparatus is 1-32 cm?1 and the range of the spectrum is 800-4000 cm?1. It is possible to detect changes in molecular structures of living biological tissues in the early stages of cancer, and testees will not feel uncomfortable during testing. The method is easy to operate, quick, accurate, and it doesn't harm the body.
    Type: Application
    Filed: January 18, 2005
    Publication date: September 18, 2008
    Inventors: Jinguang Wu, Yuanfu Zhang, Yizhuang Xu, Qingbo Li, Shifu Weng, Limin Yang, Li Zhang, Weijin Zhou, Zhanian Yang, Weihong Li, Huizhong Wu, Rongye Gong, Xuejun Gao, Duanfu Xu, Ying Zhao, Zhi Xu, Nengwei Zhang, Lixin Wang, Kaihua Sun, Xin Peng, Yufeng Liu, Xuejun Sun, Xiaofeng Ling, Su Zhou, Zhi Liu, Guoqiao Lai, Jianxiong Jiang, Qinghua Pan, Qiguang Wu, Guangyan Yu, Bingbing Wang