Patents by Inventor Lieza Marie Araullo Danan-Leon

Lieza Marie Araullo Danan-Leon 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: 20230324407
    Abstract: Provided herein are methods for identifying new biomarkers for various diseases using proteomics, peptidomics, metabolics, proteoglycomics, glvcomics, mass spectrometry and machine learning. The present disclosure also provides glycopeptides as biomarkers for various diseases such as cancer and autoimmune diseases.
    Type: Application
    Filed: March 8, 2023
    Publication date: October 12, 2023
    Applicant: Venn Biosciences Corporation
    Inventors: Aldo Mario Eduardo Silva CARRASCOSO, Carolyn Ruth BERTOZZI, Carlito Bangeles LEBRILLA, Lieza Marie Araullo DANAN-LEON
  • Patent number: 11624750
    Abstract: Provided herein are methods for identifying new biomarkers for various diseases using proteomics, peptidomics, metabolics, proteoglycomics, glycomics, mass spectrometry and machine learning. The present disclosure also provides glycopeptides as biomarkers for various diseases such as cancer and autoimmune diseases.
    Type: Grant
    Filed: October 9, 2020
    Date of Patent: April 11, 2023
    Assignee: Venn Biosciences Corporation
    Inventors: Aldo Mario Eduardo Silva Carrascoso, Carolyn Ruth Bertozzi, Carlito Bangeles Lebrilla, Lieza Marie Araullo Danan-Leon
  • Publication number: 20220139499
    Abstract: Set forth herein are glycopeptide biomarkers useful for diagnosing diseases and conditions, such as but not limited to, cancer (e.g., ovarian), an autoimmune disease, fibrosis and aging conditions. Also set forth herein are methods of generating glycopeptide biomarkers and methods of analyzing glycopeptides using mass spectroscopy. Also set forth herein are methods of analyzing glycopeptides using machine learning algorithms.
    Type: Application
    Filed: January 31, 2020
    Publication date: May 5, 2022
    Inventors: Gege XU, Lieza Marie Araullo DANAN-LEON, Daniel SERIE
  • Publication number: 20210208159
    Abstract: Provided herein are methods for identifying new biomarkers for various diseases using proteomics, peptidomics, metabolics, proteoglycomics, glvcomics, mass spectrometry and machine learning. The present disclosure also provides glycopeptides as biomarkers for various diseases such as cancer and autoimmune diseases.
    Type: Application
    Filed: October 9, 2020
    Publication date: July 8, 2021
    Inventors: Aldo Mario Eduardo Silva Carrascoso, Carolyn Ruth Bertozzi, Carlito Bangeles Lebrilla, Lieza Marie Araullo Danan-Leon
  • Patent number: 10837970
    Abstract: Provided herein are methods for identifying new biomarkers for various diseases using proteomics, peptidomics, metabolics, proteoglycomics, glvcomics, mass spectrometry and machine learning. The present disclosure also provides glycopeptides as biomarkers for various diseases such as cancer and autoimmune diseases.
    Type: Grant
    Filed: August 31, 2018
    Date of Patent: November 17, 2020
    Assignee: Venn Biosciences Corporation
    Inventors: Aldo Mario Eduardo Silva Carrascoso, Carolyn Ruth Bertozzi, Carlito Bangeles Lebrilla, Lieza Marie Araullo Danan-Leon
  • Publication number: 20200240996
    Abstract: Systems and methods of quantifying a glycomic parameter, a genomic parameter, a proteomic parameter, a metabolic parameter, and/or a lipidomic parameter of a biological sample; obtaining a clinical parameter associated with a subject from which the one or more biological samples originated; determining one or more relationships between one or more of: (i) one or more of the quantified glycomic parameters, genomic parameters, proteomic parameters, metabolic parameters, and lipidomic parameters, (ii) a predetermined range associated with one or more of the quantified glycomic parameters, genomic parameters, proteomic parameters, metabolic parameters, and lipidomic parameters, and (iii) an obtained clinical parameter; identifying one or more biomarkers based on one or more of the determined relationships satisfying a predetermined significance criteria; and/or determining a wellness classification state of a wellness classification, the determination of the wellness classification state determined based on the o
    Type: Application
    Filed: October 18, 2018
    Publication date: July 30, 2020
    Inventors: Lieza Marie Araullo DANAN-LEON, Aldo Mario Eduardo Silva CARRASCOSO, Carolyn Ruth BERTOZZI, Carlito Bangeles LEBRILLA, David SPICIARICH
  • Publication number: 20190101544
    Abstract: Provided herein are methods for identifying new biomarkers for various diseases using proteomics, peptidomics, metabolics, proteoglycomics, glvcomics, mass spectrometry and machine learning. The present disclosure also provides glycopeptides as biomarkers for various diseases such as cancer and autoimmune diseases.
    Type: Application
    Filed: August 31, 2018
    Publication date: April 4, 2019
    Applicant: Venn Biosciences Corporation
    Inventors: Lieza Marie Araullo Danan-Leon, Aldo Mario Eduardo Silva Carrascoso, Carolyn Ruth Bertozzi, Carlito Bangeles Lebrilla