Patents by Inventor Juan Esteban Arango OSSA

Juan Esteban Arango OSSA 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: 20230121103
    Abstract: Described embodiments provide systems and methods for performing cancer whole genome and transcriptome sequencing (cWGTS). A plurality of datasets can be generated based on sequencing of a tumor sample and a healthy control germline sample. A plurality of databases, comprising a first, second and third database, can be accessed. An RNA gene expression analysis can be performed to generate a first plurality of outputs. A DNA ploidy and allelic imbalance analysis can be performed to generate a second plurality of outputs. A variant calling analysis can be performed to generate a third plurality of outputs. A workflow may be implemented. Cohort classification scores and disease-specific classification scores for each individual level output in each of the first, second, and third pluralities of outputs can be generated. A report can be generated and provided to one or more users.
    Type: Application
    Filed: July 5, 2022
    Publication date: April 20, 2023
    Inventors: Max Levine, Gunes Gundem, Yangyu Zhou, Juan Esteban Arango Ossa, Juan Santiago Medina-Martinez, Jesus Gutierrez-Abril, Elli Papaemmanuil, Andrew Kung, Neerav Shukla
  • Publication number: 20220246245
    Abstract: The present disclosure is directed to managing and accessing experiment data. A data processing system may generate a system identifier for each instance that leads to a generation of experiment data. A first segment may refer to a source entity, and may be used to differentiate identifiers generated by different source entities. This implementation may aim to provide an explicit representation of the data generation process while providing a glimpse on select metadata attributes, such as an individual species, sample class, and experimental technique used to generate the dataset. These constraints may prevent duplicates and may enable system-side associations among subjects, samples, aliquots, and experiments.
    Type: Application
    Filed: July 23, 2020
    Publication date: August 4, 2022
    Inventors: Juan Santiago MEDINA-MARTINEZ, Elli PAPPAEMMANUIL, Andrew KUNG, Juan Esteban Arango OSSA, Max Fine LEVINE