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: 11437121
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: April 23, 2018
    Date of Patent: September 6, 2022
    Assignee: Sequenom, Inc.
    Inventors: Cosmin Deciu, Zeljko Dzakula, Mathias Ehrich, Taylor Jacob Jensen
  • Patent number: 11365447
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations. In particular the invention relates to methods and kits for detecting aneuploidy of a fetal chromosome by determining the amounts of differentially methylated regions in each of chromosomes 13, 18 and 21 in circulating cell-free nucleic acid from a human pregnant female.
    Type: Grant
    Filed: March 12, 2015
    Date of Patent: June 21, 2022
    Assignee: Sequenom, Inc.
    Inventors: Taylor Jacob Jensen, Jennifer Geis, Sung Kyun Kim, Cosmin Deciu, Mathias Ehrich
  • Publication number: 20220170915
    Abstract: Described are computer-implemented methods, systems, and platforms for monitoring biological data of a subject, and providing real-time recommendations to the user related to a change in the subjects health status. Disclosed herein are sampling devices in communication with at least one computer processor of the systems and platforms described herein, which sampling devices are configured to measure the level, presence, or absence of a one or more biomarkers indicative of the subjects health status.
    Type: Application
    Filed: March 26, 2020
    Publication date: June 2, 2022
    Inventors: Dirk VAN DEN BOOM, Mathias EHRICH, Jim CHAUVAPUN, Eugene SHTEYN
  • Publication number: 20220162591
    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: March 25, 2020
    Publication date: May 26, 2022
    Inventors: Dirk VAN DEN BOOM, Mathias EHRICH, Paul OETH, Jim CHAUVAPUN
  • Patent number: 11312997
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: May 27, 2020
    Date of Patent: April 26, 2022
    Assignee: Sequenom, Inc.
    Inventors: Charles R. Cantor, Grace DeSantis, Reinhold Mueller, Mathias Ehrich
  • Publication number: 20220119801
    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: December 10, 2021
    Publication date: April 21, 2022
    Inventors: Dirk VAN DEN BOOM, Mathias EHRICH, Paul OETH, Jim CHAUVAPUN
  • Publication number: 20220098575
    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: December 10, 2021
    Publication date: March 31, 2022
    Inventors: Dirk VAN DEN BOOM, Mathias EHRICH, Paul OETH, Jim CHAUVAPUN
  • Publication number: 20220098644
    Abstract: Provided are methods for identifying the presence or absence of a chromosome abnormality by which a cell-free sample nucleic acid from a subject is analyzed. In certain embodiments, provided are methods for identifying the presence or absence of a fetal chromosome abnormality in a nucleic acid from cell-free maternal blood.
    Type: Application
    Filed: October 15, 2021
    Publication date: March 31, 2022
    Inventors: Mathias EHRICH, Guy DEL MISTRO, Cosmin DECIU, Yong Qing CHEN, Ron Michael McCULLOUGH, Roger Chan TIM
  • Patent number: 11180799
    Abstract: Provided are methods for identifying the presence or absence of a chromosome abnormality by which a cell-free sample nucleic acid from a subject is analyzed. In certain embodiments, provided are methods for identifying the presence or absence of a fetal chromosome abnormality in a nucleic acid from cell-free maternal blood.
    Type: Grant
    Filed: February 8, 2018
    Date of Patent: November 23, 2021
    Assignee: Sequenom, Inc.
    Inventors: Mathias Ehrich, Guy Del Mistro, Cosmin Deciu, Yong Qing Chen, Ron Michael McCullough, Roger Chan Tim
  • Publication number: 20210358565
    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: January 24, 2018
    Publication date: November 18, 2021
    Inventors: John A. Tynan, Amin Mazloom, Yijin Wu, Mark Whidden, Mathias Ehrich
  • Patent number: 11060145
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: March 13, 2014
    Date of Patent: July 13, 2021
    Assignee: Sequenom, Inc.
    Inventors: Taylor Jacob Jensen, Mathias Ehrich
  • Publication number: 20210020314
    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: March 27, 2019
    Publication date: January 21, 2021
    Inventors: Mathias EHRICH, Lawrence DU, Dirk VAN DEN BOOM
  • Publication number: 20200362412
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: May 27, 2020
    Publication date: November 19, 2020
    Applicant: Sequenom, Inc.
    Inventors: Charles R. Cantor, Grace DeSantis, Reinhold Mueller, Mathias Ehrich
  • Publication number: 20200362414
    Abstract: Provided are compositions and processes that utilize genomic regions differentially methylated between a mother and her fetus to separate, isolate or enrich fetal nucleic acid from a maternal sample. The compositions and processes described herein are useful for non-invasive prenatal diagnostics, including the detection of chromosomal aneuploidies.
    Type: Application
    Filed: June 29, 2020
    Publication date: November 19, 2020
    Applicant: Sequenom, Inc.
    Inventors: Mathias Ehrich, Anders Olof Herman Nygren
  • Publication number: 20200299677
    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 26, 2018
    Publication date: September 24, 2020
    Inventors: Dirk VAN DEN BOOM, Mathias EHRICH, Paul OETH, Jim CHAUVAPUN
  • Publication number: 20200265921
    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: April 29, 2020
    Publication date: August 20, 2020
    Inventors: Chen ZHAO, Zeljko DZAKULA, Cosmin DECIU, Sung Kyun KIM, Amin R. MAZLOOM, Gregory HANNUM, Mathias EHRICH
  • Publication number: 20200263167
    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: September 26, 2018
    Publication date: August 20, 2020
    Inventors: Dirk VAN DEN BOOM, Mathias EHRICH, Paul OETH, Jim CHAUVAPUN
  • Patent number: 10738358
    Abstract: Provided are compositions and processes that utilize genomic regions differentially methylated between a mother and her fetus to separate, isolate or enrich fetal nucleic acid from a maternal sample. The compositions and processes described herein are useful for non-invasive prenatal diagnostics, including the detection of chromosomal aneuploidies.
    Type: Grant
    Filed: June 10, 2015
    Date of Patent: August 11, 2020
    Assignee: Sequenom, Inc.
    Inventors: Mathias Ehrich, Anders Olof Herman Nygren
  • Patent number: 10738359
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: February 27, 2017
    Date of Patent: August 11, 2020
    Assignee: Sequenom, Inc.
    Inventors: Charles R. Cantor, Grace DeSantis, Reinhold Mueller, Mathias Ehrich
  • Publication number: 20200208212
    Abstract: Provided are compositions and processes that utilize genomic regions that are differentially methylated between a mother and her fetus to separate, isolate or enrich fetal nucleic acid from a maternal sample. The compositions and processes described herein are particularly useful for non-invasive prenatal diagnostics, including the detection of chromosomal aneuploidies.
    Type: Application
    Filed: March 17, 2020
    Publication date: July 2, 2020
    Applicant: Sequenom, Inc.
    Inventors: Mathias Ehrich, Anders Olof Herman Nygren, Taylor Jacob Jensen