Patents by Inventor Mathias Ehrich

Mathias Ehrich 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: 11929145
    Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genetic alterations. In particular, a method is provided for that includes obtaining a set of sequence reads. The sequence reads each include a single molecule barcode (SMB) sequence that is a non-random oligonucleotide sequence. The method further includes assigning the sequence reads to read groups according to a read group signature. The read group signature comprises an SMB sequence and a start and end position of a nucleic acid fragment from the circulating cell free sample nucleic acid. The sequence reads comprising start and end positions and an SMB sequence similar to the read group signature are assigned to a read group. The method further includes generating a consensus for each read group, and determining the presence or absence of a genetic alteration based on the consensus for each read group.
    Type: Grant
    Filed: January 22, 2018
    Date of Patent: March 12, 2024
    Assignee: SEQUENOM, INC
    Inventors: Mostafa Azab, Michael Sykes, Youting Sun, Amin Mazloom, Taylor Jensen, Mathias Ehrich, Christopher Ellison
  • Patent number: 11929146
    Abstract: Provided herein are methods, processes, systems, machines and apparatuses for non-invasive assessment of chromosome alterations.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: March 12, 2024
    Assignee: SEQUENOM, INC.
    Inventors: Sung Kim, Taylor Jacob Jensen, Mathias Ehrich
  • Publication number: 20240029826
    Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number variations (CNVs) for a test sample. Technology provided herein is useful for classifying a genetic CNV for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.
    Type: Application
    Filed: May 15, 2023
    Publication date: January 25, 2024
    Inventors: John A. Tynan, Amin Mazloom, Yijin Wu, Mark Whidden, Mathias Ehrich
  • Publication number: 20230279494
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: May 10, 2023
    Publication date: September 7, 2023
    Inventors: Cosmin DECIU, Mathias EHRICH, Dirk J. VAN DEN BOOM, Zeljko DZAKULA
  • Patent number: 11697849
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: January 30, 2013
    Date of Patent: July 11, 2023
    Assignee: SEQUENOM, INC.
    Inventors: Cosmin Deciu, Mathias Ehrich, Dirk J. van den Boom, Zeljko Dzakula
  • Patent number: 11694768
    Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number variations (CNVs) for a test sample. Technology provided herein is useful for classifying a genetic CNV for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.
    Type: Grant
    Filed: January 24, 2018
    Date of Patent: July 4, 2023
    Inventors: John A. Tynan, Amin Mazloom, Yijin Wu, Mark Whidden, Mathias Ehrich
  • Publication number: 20230187021
    Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genomic nucleic acid instability and genomic nucleic acid stability.
    Type: Application
    Filed: October 10, 2022
    Publication date: June 15, 2023
    Applicant: Sequenom, Inc.
    Inventors: Youting Sun, Sung Kyun Kim, Mathias Ehrich, Christopher Ellison, Taylor Jensen, Amin Mazloom
  • Publication number: 20230112134
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: December 13, 2022
    Publication date: April 13, 2023
    Inventors: Cosmin DECIU, Zeljko Jovan DZAKULA, Mathias EHRICH, Sung Kyun KIM
  • Publication number: 20230051179
    Abstract: Provided herein are devices, systems, kits and methods for obtaining genetic information from cell-free fetal nucleic acids in ultra-low amounts of biological samples. Due to the convenience of obtaining ultra-low amounts of samples, devices, systems, kits and methods can be at least partially employed at a point of need.
    Type: Application
    Filed: October 5, 2022
    Publication date: February 16, 2023
    Inventors: Dirk VAN DEN BOOM, Mathias EHRICH, Paul OETH, Jim CHAUVAPUN
  • Patent number: 11560586
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: April 26, 2019
    Date of Patent: January 24, 2023
    Assignee: SEQUENOM, INC.
    Inventors: Cosmin Deciu, Zeljko Jovan Dzakula, Mathias Ehrich, Sung Kyun Kim
  • Publication number: 20220415435
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.
    Type: Application
    Filed: July 21, 2022
    Publication date: December 29, 2022
    Inventors: Chen ZHAO, Zeljko DZAKULA, Cosmin DECIU, Sung Kyun KIM, Amin MAZLOOM, Gregory HANNUM, Mathias EHRICH
  • Publication number: 20220411871
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: May 23, 2022
    Publication date: December 29, 2022
    Applicant: Sequenom, Inc.
    Inventors: Taylor Jacob Jensen, Jennifer Geis, Sung Kyun Kim, Cosmin Deciu, Mathias Ehrich
  • Publication number: 20220404353
    Abstract: Provided are systems and methods of sample preparation and analyte detection.
    Type: Application
    Filed: November 20, 2020
    Publication date: December 22, 2022
    Inventors: Krisna C. Bhargava, Jim Chauvapun, Mathias Ehrich, Megan Monier, Michael Van Nguyen, Dirk van den Boom
  • Publication number: 20220403468
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: June 8, 2021
    Publication date: December 22, 2022
    Applicant: SEQUENOM, INC.
    Inventors: Taylor Jacob JENSEN, Mathias EHRICH
  • Patent number: 11525134
    Abstract: Provided herein are devices, systems, kits and methods for obtaining genetic information from cell-free fetal nucleic acids in ultra-low amounts of biological samples. Due to the convenience of obtaining ultra-low amounts of samples, devices, systems, kits and methods can be at least partially employed at a point of need.
    Type: Grant
    Filed: December 10, 2021
    Date of Patent: December 13, 2022
    Assignee: JUNO DIAGNOSTICS, INC.
    Inventors: Dirk Van Den Boom, Mathias Ehrich, Paul Oeth, Jim Chauvapun
  • Publication number: 20220380752
    Abstract: Provided herein are devices and methods for extracting blood plasma from ultra-low volumes of blood. In some cases, the devices and methods use positive pressure to force a blood sample through a filter or a membrane. In some cases, the devices and methods use centrifugation to force a blood sample through a filter or a membrane. The devices and methods disclosed herein are suitable for the preparation of high-quality samples containing cell-free nucleic acids.
    Type: Application
    Filed: May 25, 2022
    Publication date: December 1, 2022
    Inventors: Dirk van den Boom, Mathias Ehrich, Michael Van Nguyen, Christopher Ellison, Jeffery William Domenighini, Dylann Duncan Ceriani, Kristopher Scott Buchanan, Michael Gordon Smith
  • Publication number: 20220383977
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: August 2, 2022
    Publication date: December 1, 2022
    Inventors: Cosmin DECIU, Zeljko DZAKULA, Mathias EHRICH, Taylor Jacob JENSEN
  • Patent number: 11515003
    Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genomic nucleic acid instability and genomic nucleic acid stability. The method comprises providing a set of genomic portions each coupled to a copy number alteration quantification for a test sample, wherein the genomic portions comprises portions of a reference genome to which sequence reads obtained for nucleic acid from a test sample obtained from the subject have been mapped, and the copy number alteration quantification coupled to each genomic portion has been determined from a quantification of sequence reads mapped to the genomic portion; and determining, by a computing device, presence or absence of genomic instability for the subject according to the copy number alteration quantifications coupled to the genomic portions.
    Type: Grant
    Filed: July 27, 2017
    Date of Patent: November 29, 2022
    Assignee: Sequenom, Inc.
    Inventors: Youting Sun, Sung Kyun Kim, Mathias Ehrich, Christopher Ellison, Taylor Jensen, Amin Mazloom
  • Publication number: 20220356523
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: March 25, 2022
    Publication date: November 10, 2022
    Applicant: Sequenom, Inc.
    Inventors: Charles R. Cantor, Grace DeSantis, Reinhold Mueller, Mathias Ehrich
  • Patent number: 11462298
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: October 4, 2022
    Assignee: Sequenom, Inc.
    Inventors: Chen Zhao, Zeljko Dzakula, Cosmin Deciu, Sung Kyun Kim, Amin R. Mazloom, Gregory Hannum, Mathias Ehrich