Patents Assigned to CHANG GUNG MEMORIAL HOSPITAL, LINKOU
  • Publication number: 20210217485
    Abstract: A method of establishing a coronary artery disease (CAD) prediction model for CAD screening includes establishing a data set in a computer equipment; entering the data set and corresponding future CAD condition of asymptomatic individuals into a machine learning component; selecting a plurality of robust variables from the clinical data and the cardiovascular markers of the cardiovascular markers panel by using feature selection methods; establishing the CAD prediction model by using machine learning methods; uploading new clinical data and new results of the cardiovascular markers to the cloud-based platform when any asymptomatic individuals undergo the health examination, and performing calculation and analysis by the CAD prediction model; and notifying the asymptomatic individuals of having a high risk of encountering a CAD event or not in a certain period of follow-up time.
    Type: Application
    Filed: April 1, 2021
    Publication date: July 15, 2021
    Applicants: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, Chang Gung University, CATHAY GENERAL HOSPITAL
    Inventors: Jang-Jih Lu, Chun-Hsien Chen, Hsin-Yao Wang, Yi-Hsin Chan, Wei-Shang Shih
  • Patent number: 11028437
    Abstract: Provided is a method for evaluating the risk of drug hypersensitivity reaction induced by antibiotics sulfamethoxazole and/or trimethoprim. The drug hypersensitivity reaction comprises: maculopapular eruption, fixed drug eruption, Stevens-Johnson Syndrome, toxic epidermal necrolysis, drug rash with eosinophilia and systemic symptoms. A specific HLA genotype is associated with the drug hypersensitivity reaction induced by the antibiotics sulfamethoxazole and/or trimethoprim.
    Type: Grant
    Filed: April 3, 2019
    Date of Patent: June 8, 2021
    Assignee: Chang Gung Memorial Hospital, Linkou
    Inventors: Wen-Hung Chung, Shuen-Iu Hung
  • Patent number: 11011276
    Abstract: A method for establishing a computer-aided data interpretation model for immune diseases by immunomarkers and visualization is revealed. First combine a plurality of immunomarkers into an immunomarker panel. Then collect test data of a plurality of subjects measured by the immunomarker panel, and disease diagnosis information of the subjects for establishment of an immunomarker-panel testing database. Next new subjects are tested by the immunomarker panel. The data obtained and the corresponding information in the immunomarker-panel testing database are processed by unsupervised machine learning algorithm to get a computer-aided data interpretation model showing comparison of case distribution patterns. The method provides real-time analysis of multiple data to medical professionals for their reference. Thereby the correctness, the timeliness and the reproducibility of the interpretation result for the diagnosis and treatment of immune diseases are all improved.
    Type: Grant
    Filed: July 9, 2018
    Date of Patent: May 18, 2021
    Assignees: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, CHANG GUNG UNIVERSITY
    Inventors: Chun-Hsien Chen, Yi-Ju Tseng, Hsin-Yao Wang, Wan-Ying Lin, Chih-Kuang Chen
  • Publication number: 20210128680
    Abstract: Provided herein are synthetic peptides and methods for treating cardiorespiratory diseases, particularly cardiopulmonary disorder (CPD) by use of the synthetic peptides. The present synthetic peptide has the amino acid sequence of X1EX2LRVANEVTLN (SEQ ID NO: 1), in which X1 is tyrosine (Y) or phenylalanine (F), and X2 is alanine (A) or cysteine (C). In preferred embodiments, an effective amount of the present synthetic peptide is administered to a subject suffering from CPD to ameliorate or alleviate symptoms associated therewith.
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Applicants: Chang Gung University, Chang Gung Memorial Hospital, Linkou
    Inventors: Ying-Ju LAI, Pao-Hsien CHU, Whei-Yang Winston KAO
  • Patent number: 10943157
    Abstract: A pattern recognition method of the immunofluorescence images of autoantibody identification is disclosed. The method includes the following steps: inputting a plurality of original cell immunofluorescence images; conducting an operation of a plurality of convolutional neural networks by a processor, the plurality of convolutional neural networks include a convolution layer, a pooling layer and an inception layer for capturing the plurality of convolution features; conducting a judgment process to obtain the proportions of the antinuclear antibodies morphological patterns; and outputting the recognition results.
    Type: Grant
    Filed: April 29, 2019
    Date of Patent: March 9, 2021
    Assignee: CHANG GUNG MEMORIAL HOSPITAL, LINKOU
    Inventors: Chang-Fu Kuo, Chi-Hung Lin, Yi-Ling Chen, Meng-Jiun Chiou
  • Patent number: 10937521
    Abstract: A classification system and a classification method of the autoantibody immunofluorescence image are disclosed. The system includes an input device, a processor and an output device. The plurality of cell immunofluorescence images and the corresponded extractable nuclear antigen results are input through the input device. The processor conducts a plurality of convolution neural network calculation and output the classification based on the extractable nuclear antigen results, so as to obtain an extractable nuclear antigen classification model. When the autoantibody immunofluorescence image is input by the input device, the corresponded classification of the extractable nuclear antigen can be predicted. The classification result is output through the output device.
    Type: Grant
    Filed: April 29, 2019
    Date of Patent: March 2, 2021
    Assignee: CHANG GUNG MEMORIAL HOSPITAL, LINKOU
    Inventors: Chang-Fu Kuo, Chi-Hung Lin, Yi-Ling Chen, Meng-Jiun Chiou
  • Patent number: 10930371
    Abstract: A method of creating characteristic peak profiles of mass spectra and identification model for analyzing and identifying microorganisms are provided. MALDI-TOF MS data of microorganisms having the same feature are gathered. Discretization of the data is performed. Density-based clustering is used to find m/z values of spectral peaks with high probability of occurrence from the discretized data. A characteristic MS peak profile is created for every specific feature of microorganisms. Every such a characteristic profile forms a feature template. The mass spectrum of each known isolate is matched against all the feature templates and a number of matched vectors are obtained. The matched vectors are then concatenated into a single “integrated vector.” Then, a machine learning method and the integrated vectors generated from all known isolates are used to create a classification model for microorganism identification.
    Type: Grant
    Filed: July 10, 2017
    Date of Patent: February 23, 2021
    Assignees: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, CHANG GUNG UNIVERSITY
    Inventors: Jang-Jih Lu, Chun-Hsien Chen, Hsin-Yao Wang, Tsui-Ping Liu
  • Patent number: 10792459
    Abstract: The present invention discloses ventilation apparatus, comprising a casing with a first vent and a second vent, a fixed spacer disposed within the casing, and a movable spacer in operative connection with a power mechanism. Also discloses herein are methods for ventilating a subject, by synchronously providing a positive pressure ventilation and a negative pressure ventilation using the ventilation apparatus described herein.
    Type: Grant
    Filed: May 19, 2017
    Date of Patent: October 6, 2020
    Assignee: Chang Gung Memorial Hospital, Linkou
    Inventors: Pai-Chien Chou, Liu-Chieh Chou, Hui-Ju Yang
  • Patent number: 10791996
    Abstract: An intraoperative nerve evaluation device includes a flexible substrate, and a plurality of detection units disposed on the substrate and spaced apart from one another. Each of the detection units includes an electrode and a conductive wire electrically connected to the electrode. When the electrodes are attached to a nerve, a selected one of the electrodes is configured to receive an input signal via the corresponding conductive wire and to transmit the input signal to the nerve, and each of the electrodes other than the selected one is configured to receive from the nerve a response signal associated with the input signal and to transmit the response signal via the corresponding conductive wire.
    Type: Grant
    Filed: November 20, 2017
    Date of Patent: October 6, 2020
    Assignees: Chang Gung University, Chang Gung Memorial Hospital, Linkou
    Inventors: Yu-Cheng Pei, Ting-Yu Chen, Cheng-Hung Lin, Jian-Jia Huang
  • Patent number: 10704106
    Abstract: Methods for diagnosing or predicting the risk of developing endometrial cancer in a subject in need of such diagnosis or risk prediction are provided, comprising measuring the expression level of at least two miRNAs disclosed herein in the sample of the subject, and compared the expression level of at least two of the miRNAs in the test sample with that of the endometrial cancer-free sample. Kits for diagnosing or predicting the risk of developing endometrial cancer, containing an agent for sequencing or measuring the expression level of at least two miRNAs disclosed herein.
    Type: Grant
    Filed: March 9, 2018
    Date of Patent: July 7, 2020
    Assignee: Chang Gung Memorial Hospital, Linkou
    Inventors: Chyong-Huey Lai, Lan-Yan Yang, Chiao-Yun Lin, Angel Chao
  • Publication number: 20200110097
    Abstract: An immunoassay includes forming first mixtures by reacting a combination reagent with serum of a subject; simultaneously forming second mixtures by reacting randomly selected platelet samples with the serum wherein in each mixture there are immunity compounds formed by combining the platelet antigens with predetermined antibodies in the serum, and other platelet antigens and other antibodies in the serum not forming the immunity compounds; preparing an interception device including receptacles and a filter net; placing each mixture in one receptacle; washing the mixtures wherein the mixtures forming the immunity compounds are intercepted by the filter net with others passing through; adding a signal sensing reagent to each receptacle; reacting the signal sensing reagent with the intercepted mixtures forming the immunity compounds to form final products; and performing a signal sensing to determine whether the final products contain anti-platelet antibodies and determine compatibility of cross matching of resp
    Type: Application
    Filed: September 11, 2019
    Publication date: April 9, 2020
    Applicants: Chang Gung University, CHANG GUNG MEMORIAL HOSPITAL, LINKOU
    Inventors: Tzong-Shi Chiueh, Min-Hsien Wu, Hsin-Yao Wang
  • Patent number: 10603085
    Abstract: A guiding apparatus for pedicle screws insertion, including: two orientation rods, used to be fixed on a bone to provide two non-parallel rod bodies; an orientation board, having a first orientation tube, a second orientation tube, a lengthy lateral opening, and a plurality of sleeve combinations, the second orientation tube having a vertical opening connected with the lengthy lateral opening, so that when one rod body of the two non-parallel rod bodies passes through the first orientation tube, the other rod body of the two non-parallel rod bodies will move through the lengthy lateral opening and enter the second orientation tube via the vertical opening; and a plurality of metal pins, used to be inserted into the bone through the plurality of sleeve combinations, and guide a plurality of pedicle screws to be screwed into the bone after inner sleeves of the sleeve combinations are removed.
    Type: Grant
    Filed: February 1, 2018
    Date of Patent: March 31, 2020
    Assignees: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, MING CHI UNIVERSITY OF TECHNOLOGY
    Inventors: Tsung-Ting Tsai, Chih-Chung Hu
  • Publication number: 20200013513
    Abstract: A method for establishing a computer-aided data interpretation model for immune diseases by immunomarkers and visualization is revealed. First combine a plurality of immunomarkers into an immunomarker panel. Then collect test data of a plurality of subjects measured by the immunomarker panel, and disease diagnosis information of the subjects for establishment of an immunomarker-panel testing database. Next new subjects are tested by the immunomarker panel. The data obtained and the corresponding information in the immunomarker-panel testing database are processed by unsupervised machine learning algorithm to get a computer-aided data interpretation model showing comparison of case distribution patterns. The method provides real-time analysis of multiple data to medical professionals for their reference. Thereby the correctness, the timeliness and the reproducibility of the interpretation result for the diagnosis and treatment of immune diseases are all improved.
    Type: Application
    Filed: July 9, 2018
    Publication date: January 9, 2020
    Applicants: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, Chang Gung University
    Inventors: Chun-Hsien Chen, Yi-Ju Tseng, Hsin-Yao Wang, Wan-Ying Lin, Chih-Kuang Chen
  • Patent number: 10441320
    Abstract: A spine correction apparatus is disclosed, comprising: a first rod member having a first zone; a second rod member having a second zone; a first ring member having a first through-hole; and a second ring member having a second through-hole; wherein the first zone contacts the second zone, the first rod member and the second rod member are inserted into the first through-hole and the second through-hole, the first through-hole is fixed to the first rod member, and the second through-hole is fixed to the second rod member. The spine correction apparatus lowers the requirement for repeated surgeries and achieves the purpose of self-correction.
    Type: Grant
    Filed: March 13, 2017
    Date of Patent: October 15, 2019
    Assignee: CHANG GUNG MEMORIAL HOSPITAL, LINKOU
    Inventors: Po-Liang Lai, Jaw-Lin Wang, Zong-Xing Chen
  • Publication number: 20190299205
    Abstract: A detection device adapted for detecting an analyte in a sample includes a substrate having a top surface, a sample pad, a binding pad, a cellulose pad, a nitrocellulose membrane and an absorbent pad. The sample pad is for receiving the sample. The binding pad includes a main body and a first detecting reagent disposed on the main body and is adapted for specifically binding to the analyte. The cellulose pad has a first connecting end portion and a second connecting end portion. The nitrocellulose membrane includes a membrane body and a detection zone that includes a second detecting reagent adapted for specifically binding to the analyte. The absorbent pad connects to the membrane body.
    Type: Application
    Filed: August 10, 2018
    Publication date: October 3, 2019
    Applicant: Chang Gung Memorial Hospital, Linkou
    Inventors: Tsung-Ting Tsai, Tse-Hao Huang, Chien-Fu Chen
  • Patent number: 10415014
    Abstract: A method for the ex vivo cultivation of oral mucosal epithelial progenitor cells and oral mucosal epithelial cells includes: subjecting an oral mucosal tissue to an enzymatic digestion treatment with collagenase, so as to obtain cell aggregates which include oral mucosal epithelial progenitor cells and oral mucosal epithelial cells; cultivating the cell aggregates with an amniotic membrane in a serum-free platelet lysate-containing medium in the absence of feeder cells, so that the cell aggregates are adhered onto the amniotic membrane; and subsequently cultivating the cell aggregates adhered on the amniotic membrane in a serum-free proliferation-facilitating medium in the absence of feeder cells.
    Type: Grant
    Filed: March 9, 2017
    Date of Patent: September 17, 2019
    Assignee: Chang Gung Memorial Hospital, Linkou
    Inventors: Hui-Kang Ma, Shih-Chieh Ma
  • Publication number: 20190221309
    Abstract: A coronary artery disease (CAD) screening method includes 1) collecting clinical information of asymptomatic individuals and testing a plurality of samples of the individuals by using a cardiovascular markers panel including a plurality of cardiovascular markers; 2) entering the clinical information and the test results and the corresponding CAD states of the individuals into a machine learning platform; 3) selecting a plurality of roust variables from the clinical information and the cardiovascular markers of the cardiovascular markers panel by using feature selection methods; 4) using a machine learning algorithm embedded in the machine learning platform to establish a CAD prediction model; and 5) entering clinical information and sample data obtained by using the cardiovascular markers panel for an individual being screened into the CAD prediction model for calculation and analysis, thereby determining whether the individual being screened has CAD or not.
    Type: Application
    Filed: January 15, 2018
    Publication date: July 18, 2019
    Applicants: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, Chang Gung University, CATHAY GENERAL HOSPITAL
    Inventors: Jang-Jih Lu, Chun-Hsien Chen, Hsin-Yao Wang, Yi-Hsin Chan, Wei-Shang Shih
  • Publication number: 20190216368
    Abstract: A method of predicting daily living activities performance of a person with disabilities includes establishing a rehabilitation assessments panel based on a plurality of rehabilitation evaluation scales and laboratory data; evaluating a plurality of persons with disabilities by the rehabilitation assessments panel; entering assessment results and the corresponding activities of daily living (ADL) performance into a machine learning platform; utilizing variable selection methods to select a plurality of variables having optimal classification performance from the rehabilitation assessments panel; executing a machine learning algorithm to create an ADL prediction model based on the selected variables; evaluating a participant in terms of the rehabilitation assessments panel; and entering assessment results into the ADL prediction model for calculation, thereby obtaining a prediction result of future ADL performance for the participant.
    Type: Application
    Filed: January 13, 2018
    Publication date: July 18, 2019
    Applicants: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, Chang Gung University
    Inventors: Chih-Kuang Chen, Chun-Hsien Chen, Hsin-Yao Wang, Wan-Ying Lin
  • Publication number: 20190147136
    Abstract: A method of using machine learning algorithms in analyzing laboratory test results of body fluid to detect microbes in the body fluid includes using a body fluid detection module for analytic measurements in body fluid of a person to create biological samples; sending the biological samples of a plurality of persons and corresponding microbes infection statuses to perform machine learning algorithms to establish a microbes in body fluid prediction model; and sending data obtained from the body fluid detection of a patient for testing to the microbes in body fluid prediction model for operation and analysis in order to determine whether the microbes is present in body fluid.
    Type: Application
    Filed: November 13, 2017
    Publication date: May 16, 2019
    Applicants: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, Chang Gung University
    Inventors: Jang-Jih Lu, Chung-Chih Hung, Hsin-Yao Wang, Yi-Ju Tseng
  • Patent number: 10272086
    Abstract: Methods for treating androgen receptor related diseases and suppressing androgen receptor related function by administering an effective amount of minoxidil are provided. Methods for treating or prophylactically treating acne by administering an effective amount of minoxidil are also provided. An anti-acne medication is optionally administered to treat or prophylactically treat acne.
    Type: Grant
    Filed: April 30, 2014
    Date of Patent: April 30, 2019
    Assignees: Chang Gung Memorial Hospital, Linkou
    Inventor: Cheng-Lung Hsu