Patents by Inventor Kyung Soo Chung

Kyung Soo 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).

  • Patent number: 11975076
    Abstract: The present invention relates to antibody-drug conjugates (ADCs) wherein a plurality of active agents are conjugated to an antibody through at least one branched linker. The branched linker may comprise a branching unit, and two active agents are coupled to the branching unit through a secondary linker and the branching unit is coupled to the antibody by a primary linker. The active agents may be the same or different. In certain such embodiments, two or more such branched linkers are conjugated to the antibody, e.g., 2-4 branched linkers, which may each be coupled to a different C-terminal cysteine of a heavy or light chain of the antibody. The branched linker may comprise one active agent coupled to the branching unit by a first branch and a second branch that comprises a polyethylene glycol moiety coupled to the branching unit. In certain such embodiments, two or more such branched linkers are conjugated to the antibody, e.g.
    Type: Grant
    Filed: November 12, 2021
    Date of Patent: May 7, 2024
    Assignee: LegoChem Biosciences, Inc.
    Inventors: Yong Zu Kim, Yeong Soo Oh, Jeiwook Chae, Ho Young Song, Chul-Woong Chung, Yun Hee Park, Hyo Jung Choi, Kyung Eun Park, Hyoungrae Kim, Jinyeong Kim, Ji Young Min, Sung Min Kim, Byung Soo Lee, Dong Hyun Woo, Ji Eun Jung, Su In Lee
  • Publication number: 20200113503
    Abstract: Provided are a method for predicting a mortality risk or a sepsis risk, implemented by a processor, to predict an emergency situation, and a device using the same. The method for predicting a mortality risk or a sepsis risk includes: receiving biological signal data for a subject from a biological signal prediction device; generating a risk sequence for the subject based on the biological signal data, by using a risk sequence generation model configured to generate a risk sequence based on the biological signal data; and predicting a risk for the subject based on the risk sequence.
    Type: Application
    Filed: October 10, 2019
    Publication date: April 16, 2020
    Inventors: Young Sam KIM, Kyung Soo Chung, Jin Kyu Yoo, Young Chul Sung, In Hyeok Cho, Sae Hoon Kim, Min Seop Park