Patents by Inventor Chia-Ru Chung

Chia-Ru Chung 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: 20220146527
    Abstract: A method of creating characteristic profiles of mass spectra and identification model for analyzing and identifying microorganisms includes collecting m/z data of microorganisms having same features from MALDI-TOF MS; classifying the microorganisms; classifying the collected set of m/z data as a plurality of subsets; creating modified subsets by applying KDE to the subsets; creating first characteristic MS profiles based on the modified subsets; summarizing into a second characteristic MS profile; repeating above six steps to create second characteristic MS profiles; creating a training set comprising first matched vectors; training a machine learning system using the training set to establish a feature classification model; using MALDI-TOF MS to analyze microorganisms having unknown features; comparing m/z of MALDI-TOF MS spectrum of the microorganisms having unknown features with second characteristic MS profiles to obtain second matched vectors; using the feature classification model analyzing the second m
    Type: Application
    Filed: January 25, 2022
    Publication date: May 12, 2022
    Applicant: Chang Gung University
    Inventors: Jang-Jih Lu, Hsin-Yao Wang, Chia-Ru Chung, Jorng-Tzong Horng, Tzong-Yi Lee
  • Publication number: 20210080384
    Abstract: A method of creating characteristic profiles of mass spectra and identification model for analyzing and identifying microorganisms includes obtaining data of MALDI-TOF MS of microorganisms having same features; using a kernel density estimation to generate characteristic profiles of an m/z of the data; creating a characteristic MS profile based on the m/z; repeating above three step until characteristic MS profiles of features of the microorganisms is obtained; comparing m/z of MALDITOF MS spectrum of known microorganisms with the characteristic profiles to obtain first matched vectors; using a machine learning method to establish a feature classification model; using MALDI-TOF MS to analyze microorganisms having unknown features; comparing the m/z of MALDI-TOF MS spectrum of the microorganisms having unknown features with the characteristic MS profiles to obtain second matched vectors; using the feature classification model to analyze the second matched vectors; and identifying the microorganisms having the
    Type: Application
    Filed: March 30, 2020
    Publication date: March 18, 2021
    Applicant: Chang Gung University
    Inventors: Jang-Jih Lu, Hsin-Yao Wang, Chia-Ru Chung, Jorng-Tzong Horng, Tzong-Yi Lee