Patents by Inventor Randal Ching

Randal Ching 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: 11976103
    Abstract: Provided herein are IL-2 muteins, IL-2 mutein Fc-fusion molecules, anti-IL-2 antibodies, and complexes comprising an anti IL-2 antibody bound to an IL-2 cytokine that preferentially expand and activate T regulatory cells and are amenable to large scale production. Also provided herein are variant human IgG1 Fc molecules lacking or with highly reduced effector function and high stability despite lacking glycosylation at N297. Also provided herein are linker peptides that are glycosylated when expressed in mammalian cells. Also provided herein are methods of making and using the compositions of the present invention.
    Type: Grant
    Filed: October 7, 2020
    Date of Patent: May 7, 2024
    Assignee: Amgen Inc.
    Inventors: Eric Alan Butz, Christy Ann Thomson, Marc Alain Gavin, Ian Nevin Foltz, Dong Xia, Dina N. Alcorn, Randal Robert Ketchem, Ai Ching Lim, Kathy Manchulenko, Laura Sekirov, Kelly Ann Berry, Cyr Clovis Chua De Imus, Neeraj Jagdish Agrawal, Gunasekaran Kannan, Li Li
  • Patent number: 11965029
    Abstract: Described herein are compositions and methods related to antigen binding proteins that bind to human ST2, including antibodies. In particular embodiments, the disclosure provides fully human anti-ST2 antibodies and deriviatives and variants thereof. Further provided are nucleic acids encoding such antibodies and antibody fragments, variants, and derivatives. Also, provided are methods of making and using such antibodies including methods of treating and preventing autoimmune and inflammatory disorders.
    Type: Grant
    Filed: June 4, 2021
    Date of Patent: April 23, 2024
    Assignee: Amgen Inc.
    Inventors: Dirk E. Smith, Ian Foltz, Chadwick T. King, Ai Ching Lim, Rutilio Clark, Michael R. Comeau, Randal R. Ketchem, Donghui Shi, Xiaoshan Min, Zhulun Wang
  • Publication number: 20080030497
    Abstract: A method is disclosed for segmentation of three dimensional image data sets, to obtain digital models of objects identifiable in the image data set. The image data set may be obtained from any convenient source, including medical imaging modalities, geological imaging, industrial imaging, and the like. A graph cuts method is applied to the image data set, and a level set method is then applied to the data using the output from the graph cuts method. The graph cuts process comprises determining location information for the digital data on a 3D graph, and cutting the 3D graph to determine approximate membership information for the object. The boundaries of the object is then refined using the level set method. Finally, a representation of the object volumes can be derived from an output of the level set method. Such representation may be used to generate rapid prototyped physical models of the objects.
    Type: Application
    Filed: December 8, 2006
    Publication date: February 7, 2008
    Inventors: Yangqiu Hu, David Haynor, Randal Ching, Mark Ganter, William Ledoux, Duane Storti