Patents by Inventor Dongliang Ge

Dongliang Ge 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: 20220371026
    Abstract: In some examples, a CSS-MBs includes a solid magnetic core, a first shell material which surrounds the solid magnetic core and a second shell material which surrounds the first shell material. The first shell material may be a protective layer. The first shell material may include an inert carbon material. The second shell material may be have surface chemistry which allows for selective interaction of the CSS-MB with certain biomolecules under various buffer conditions.
    Type: Application
    Filed: July 10, 2020
    Publication date: November 24, 2022
    Applicant: Apostle, Inc.
    Inventors: Dongliang Ge, Hao Wan, Shuting Zhao, Bo Zhang, Xin Guo
  • Publication number: 20220372471
    Abstract: Embodiments of the disclosure are drawn to apparatuses, systems, and methods for enrichment and separation of nucleic acids by size. A sample may include a mixture of nucleic acids of various sizes, and the nucleic acids of interest may be below a particular size threshold. An example enrichment method may include mixing the sample with a first substrate (e.g., magnetic beads). The method may include separating nucleic acids above a first size threshold form a remainder of the sample using the first substrate. The method may include mixing the nucleic acids in the remainder of the sample (e.g., nucleic acids below’ the size threshold) with a second substrate and recovering the nucleic acids below the first size threshold from the second substrate.
    Type: Application
    Filed: July 10, 2020
    Publication date: November 24, 2022
    Applicant: Apostle, Inc.
    Inventors: Dongliang Ge, Shuting Zhao, Hao Wan, Bo Zhang, Xin Guo, Wenqi Zeng
  • Publication number: 20200342955
    Abstract: Cancer is a genetic disease initiated by somatic mutations and progressed by an accumulation of genomic aberrations. Differentiating cancer driver somatic mutations from passenger and benign mutations is a critical step toward better understanding of cancer biology. It also provides important insights into cancer detection and prognosis monitoring. Provided herein are machine learning methods that utilize a deep-learning framework to predict mutation-associated pathogenicity, including cancer-related pathogenicity risk of somatic mutations. The methods incorporate not only an annotation comprising functional features, genomic features, epigenetic features, and other annotated features related to the mutation, but also a separate annotation including the surrounding sequence content of the test mutation. The methods can provide a quantitative score from the two or more annotation sets of a mutant reflecting the pathogenic risk of a mutation, including those involved in carcinogenesis and cancer progression.
    Type: Application
    Filed: October 29, 2018
    Publication date: October 29, 2020
    Inventors: Xin GUO, Dongliang GE, Bo ZHANG
  • Publication number: 20200124592
    Abstract: Disclosed herein are magnetic nanoparticles, compositions and kits comprising the magnetic nanoparticles, methods of making the magnetic nanoparticles, and methods of using the magnetic nanoparticles to enrich biological targets.
    Type: Application
    Filed: June 28, 2018
    Publication date: April 23, 2020
    Inventors: Bo ZHANG, Dongliang GE, Xin GUO
  • Publication number: 20130251677
    Abstract: The present invention provides genetic markers on human chromosome 19 that are associated with a beneficial response to interferon alpha (IFN-?). These IFN-? response markers are useful, inter alia, to identify patients who are most likely to benefit from treatment with IFN-? pharmaceutical compositions and drug products, in methods of treating patients having a disease susceptible to treatment with an IFN-?, and in methods for selecting the most appropriate therapy for such patients.
    Type: Application
    Filed: May 30, 2013
    Publication date: September 26, 2013
    Applicant: Merck Sharp & Dohme Corp.
    Inventors: Arthur Bertelsen, Jacques Fellay, Dongliang Ge, David B. Goldstein, John G. McHutchison, Ping Qiu, Kevin Shianna, Jason S. Simon, Alexander J. Thompson, Thomas Urban
  • Patent number: 8535887
    Abstract: The present invention provides genetic markers on human chromosome 19 that are associated with a beneficial response to interferon alpha (IFN-?). These IFN-? response markers are useful, inter alia, to identify patients who are most likely to benefit from treatment with IFN-? pharmaceutical compositions and drug products, in methods of treating patients having a disease susceptible to treatment with an IFN-?, and in methods for selecting the most appropriate therapy for such patients.
    Type: Grant
    Filed: May 21, 2010
    Date of Patent: September 17, 2013
    Assignee: Merck Sharp & Dohme Corp.
    Inventors: Arthur Bertelsen, Jacques Fellay, Dongliang Ge, David B. Goldstein, John G. McHutchison, Ping Qiu, Kevin Shianna, Jason S. Simon, Alexander J. Thompson, Thomas Urban
  • Publication number: 20120282224
    Abstract: The present invention provides genetic markers and biomarkers that are associated with anemia induced by ribavirin therapy. The genetic markers are located in the ITPA gene and elsewhere on human chromosome 20 and the biomarkers are low ITPA activity phenotypes. These markers of ribavirin-induced anemia are useful, inter alia, to identify patients who are least likely to develop anemia upon treatment with ribavirin pharmaceutical compositions and drug products, in methods of treating patients having a disease susceptible to treatment with ribavirin, and in methods for selecting the most appropriate therapy for such patients.
    Type: Application
    Filed: November 5, 2010
    Publication date: November 8, 2012
    Inventors: Janice K. Albrecht, Clifford A. Brass, Jacques Fellay, Dongliang Ge, David B. Goldstein, Curtis Gumbs, John G. McHutchinson, Ping Qiu, Kevin Shianna, Alexander J. Thompson, Thomas J. Urban