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).

  • Publication number: 20260139243
    Abstract: Provided herein are devices, systems, kits and methods for predicting or determining the gender of a fetus using cell free fetal nucleic acids in a small amount of maternal biological sample. Devices can be used at point of need during early stages of pregnancy and are compatible with communication devices.
    Type: Application
    Filed: November 24, 2025
    Publication date: May 21, 2026
    Inventors: Dirk VAN DEN BOOM, Mathias EHRICH, Paul OETH, Jim CHAUVAPUN
  • Publication number: 20260094713
    Abstract: Methods for applying machine learning algorithms to nucleic acid sequencing-based diagnostics tests for detection of copy number variation and other genomic abnormalities are described.
    Type: Application
    Filed: July 18, 2025
    Publication date: April 2, 2026
    Inventors: Mathias EHRICH, Lawrence DU, Dirk VAN DEN BOOM
  • Patent number: 12462935
    Abstract: Methods for applying machine learning algorithms to nucleic acid sequencing-based diagnostics tests for detection of copy number variation and other genomic abnormalities are described.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: November 4, 2025
    Assignee: Nucleix Ltd.
    Inventors: Mathias Ehrich, Lawrence Du, Dirk Van Den Boom
  • Patent number: 12410475
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: May 23, 2022
    Date of Patent: September 9, 2025
    Assignee: Sequenom, Inc.
    Inventors: Taylor Jacob Jensen, Jennifer Geis, Sung Kyun Kim, Cosmin Deciu, Mathias Ehrich
  • Publication number: 20250232836
    Abstract: The present disclosure relates to genetic copy number variation (CNV) detection. Particularly, aspects are directed to sequencing nucleic acid obtained from a biological sample obtained from a subject to generate sequencing data. The sequence reads are ordered by mapping the sequence reads to a reference genome and stored in an ordered format, A global segmentation of the target region is performed based on the stored sequence reads and a set of segments of the target region is identified and used to determine a copy number variation (CNV) metric. A first status of a genetic condition for the subject is determined based on the CNV metric, and a report of the corresponding genetic condition screening test is determined based on the CNV metric and the status.
    Type: Application
    Filed: January 17, 2025
    Publication date: July 17, 2025
    Applicant: Sequenom, Inc.
    Inventors: John A. Tynan, Amin Mazloom, Yijin Wu, Mark Whidden, Mathias Ehrich
  • Publication number: 20250210132
    Abstract: In some aspects, the present disclosure provides a method for analyzing cell free DNA (cfDNA). The method can comprise obtaining a biological sample derived from a subject, wherein the biological sample comprises cfDNA. The method can comprise enriching a proportion of cfDNA within the biological sample. The method can comprise sequencing the cfDNA enriched biological sample using low-coverage, genome-wide nucleic acid sequencing. The method can comprise identifying a plurality of minority components present in the sequenced cfDNA enriched biological sample. The method can comprise assigning a designation that represents a low-confidence estimate of minor variant frequency to individual identified minority components present in the sequenced cfDNA enriched biological sample.
    Type: Application
    Filed: August 2, 2024
    Publication date: June 26, 2025
    Inventors: Mathias EHRICH, Christopher ELLISON, Dirk VAN DEN BOOM
  • Publication number: 20240401140
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: August 12, 2024
    Publication date: December 5, 2024
    Applicant: Sequenom, Inc.
    Inventors: Charles R. Cantor, Grace DeSantis, Reinhold Mueller, Mathias Ehrich
  • Publication number: 20240371468
    Abstract: Provided herein are methods, processes, systems, machines and apparatuses for non-invasive assessment of chromosome alterations.
    Type: Application
    Filed: February 8, 2024
    Publication date: November 7, 2024
    Applicant: SEQUENOM, INC.
    Inventors: Sung KIM, Taylor Jacob JENSEN, Mathias EHRICH
  • Publication number: 20240290423
    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 nucleic acid fragments from a sample from a test subject; sequencing the sequence constructs to obtain sequence reads; demultiplexing the sequence reads to a first and a second subset of sequences reads; generating a first set of consensus reads that correspond to the first nucleic acid fragment based on SMBs associated with the first subset of sequences reads; generating a second set of consensus reads that correspond to the second nucleic acid fragment based on SMBs associated with the second subset of sequences reads; and determining a presence of one or more genetic alterations for the test subject based on the two sets of consensus reads.
    Type: Application
    Filed: February 1, 2024
    Publication date: August 29, 2024
    Applicant: Sequenom, Inc.
    Inventors: Mostafa Azab, Michael Sykes, Youting Sun, Amin Mazloom, Taylor Jensen, Mathias Ehrich, Christopher Ellison
  • 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: 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