Patents by Inventor Mark A. DePristo

Mark A. DePristo 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).

  • Methods and Systems for Determining Autism Spectrum Disorder Risk
    Publication number: 20240133865
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Application
    Filed: May 24, 2023
    Publication date: April 25, 2024
    Applicant: Laboratory Corporation of America Holdings
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo, Jeffrey R. Luber
  • SARS-COV(-2) SPIKE GLYCOPROTEIN-BINDING DOMAINS AND POLYPEPTIDES COMPRISING THE SAME AND USE OF THE SAME
    Publication number: 20240059759
    Abstract: Provided herein are antigen-binding domains that specifically bind to a SARS-CoV(-2) spike glycoprotein, polypeptides comprising the same, and uses of the same.
    Type: Application
    Filed: March 8, 2023
    Publication date: February 22, 2024
    Inventors: Mark DEPRISTO, Peyton GREENSIDE, Randall BREZSKI, Ryan HENRICI
  • Methods and Systems for Determining Autism Spectrum Disorder Risk
    Publication number: 20240019417
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Application
    Filed: May 5, 2023
    Publication date: January 18, 2024
    Applicant: Laboratory Corporation of America Holdings
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo
  • Metabolic Markers of Attention Deficit Hyperactivity Disorder
    Publication number: 20230293461
    Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.
    Type: Application
    Filed: March 23, 2023
    Publication date: September 21, 2023
    Applicant: Laboratory Corporation of America Holdings
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo
  • Methods and systems for determining autism spectrum disorder risk
    Patent number: 11674948
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Grant
    Filed: August 6, 2018
    Date of Patent: June 13, 2023
    Assignee: Laboratory Corporation of America Holdings
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo, Jeffrey R. Luber
  • Systems and methods for determining the identity of alleles from genomic sequencing data
    Patent number: 10892036
    Abstract: The present invention relates to systems and methods for determining the identity of alleles from genomic sequencing data via pseudoalignments. Particularly, aspects of the present invention are directed to a computer implemented method that includes obtaining a paired-end fragment from a genomic sample, determining a first nucleotide substring from a first end of the paired-end fragment matches a nucleotide substring within an index of nucleotide substrings and alleles, determining a second nucleotide substring from a second end of the paired-end fragment matches another nucleotide substring within the index, determining an intersection between the nucleotide substring and the another nucleotide substring exists, when an allele that contains the nucleotide substring is the same allele that contains the another nucleotide substring; and determining a probability that the paired end fragment is an observation of the allele based on the existence of the intersection.
    Type: Grant
    Filed: August 2, 2017
    Date of Patent: January 12, 2021
    Assignee: Verily Life Sciences LLC
    Inventors: Mauricio Carneiro, Mark DePristo, Ryan Poplin
  • Metabolic Markers of Attention Deficit Hyperactivity Disorder
    Publication number: 20200188335
    Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.
    Type: Application
    Filed: December 13, 2019
    Publication date: June 18, 2020
    Applicant: Laboratory Corporation of America Holdings
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo
  • Metabolic markers of attention deficit hyperactivity disorder
    Patent number: 10525020
    Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.
    Type: Grant
    Filed: February 9, 2016
    Date of Patent: January 7, 2020
    Assignee: Laboratory Corporation of America Holdings
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo
  • Methods and Systems for Determining Autism Spectrum Disorder Risk
    Publication number: 20180348199
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Application
    Filed: August 6, 2018
    Publication date: December 6, 2018
    Applicant: Laboratory Corporation of America Holdings
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo, Jeffrey R. Luber
  • Methods and systems for determining autism spectrum disorder risk
    Patent number: 10041932
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: August 7, 2018
    Assignee: Laboratory Corporation of America Holdings
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo, Jeffrey R. Luber
  • METABOLIC MARKERS OF ATTENTION DEFICIT HYPERACTIVITY DISORDER
    Publication number: 20160231311
    Abstract: Disclosed herein are methods for treating subjects having ADHD identifiable by levels of 3-IS in blood.
    Type: Application
    Filed: February 9, 2016
    Publication date: August 11, 2016
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo
  • METHODS AND SYSTEMS FOR DETERMINING AUTISM SPECTRUM DISORDER RISK
    Publication number: 20160091480
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Application
    Filed: September 25, 2015
    Publication date: March 31, 2016
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo, Jeffrey R. Luber
  • METHODS AND SYSTEMS FOR DETERMINING AUTISM SPECTRUM DISORDER RISK
    Publication number: 20160091481
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Application
    Filed: September 29, 2015
    Publication date: March 31, 2016
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo
  • Methods and systems for determining autism spectrum disorder risk
    Patent number: 9176113
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Grant
    Filed: February 27, 2015
    Date of Patent: November 3, 2015
    Assignee: SynapDx Corporation
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo
  • METHODS AND SYSTEMS FOR DETERMINING AUTISM SPECTRUM DISORDER RISK
    Publication number: 20150293072
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Application
    Filed: February 27, 2015
    Publication date: October 15, 2015
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo
  • METHODS AND SYSTEMS FOR DETERMINING AUTISM SPECTRUM DISORDER RISK
    Publication number: 20150294081
    Abstract: In certain embodiments, the invention stems from the discovery that analysis of population distribution curves of metabolite levels in blood can be used to facilitate predicting risk of autism spectrum disorder (ASD) and/or to differentiate between ASD and non-ASD developmental delay (DD) in a subject. In certain aspects, information from assessment of the presence, absence, and/or direction (upper or lower) of a tail effect in a metabolite distribution curve is utilized to predict risk of ASD and/or to differentiate between ASD and DD.
    Type: Application
    Filed: September 22, 2014
    Publication date: October 15, 2015
    Inventors: Ute Geigenmuller, Doris Damian, Maciej Pacula, Mark A. DePristo, Jeffrey R. Luber, Stanley N. Lapidus