Patents by Inventor Francisco A. VALENZUELA

Francisco A. VALENZUELA 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: 20240390530
    Abstract: Compounds of Formula (I) and Formula (II), which are capable of binding to granzyme B. Also provided herein are pharmaceutical compositions comprising such for use in, for example, imaging Granzyme B and/or treating immunoregulatory abnormalities.
    Type: Application
    Filed: June 9, 2021
    Publication date: November 28, 2024
    Applicant: CytoSite Biopharma Inc.
    Inventors: Julia Marie CLAY, Hui XIONG, Kevin Michael RULEY, Francisco A. VALENZUELA, Adam T. HOYE, Mark A. CASTANARES, James KRONAUGE
  • Publication number: 20240165278
    Abstract: Compounds of Formula (I) and Formula (II), which are capable of binding to granzyme B. Also provided herein are pharmaceutical compositions comprising such for use in, for example, imaging Granzyme B and/or treating immunoregulatory abnormalities.
    Type: Application
    Filed: June 9, 2021
    Publication date: May 23, 2024
    Applicant: CytoSite Biopharma Inc.
    Inventors: Julia Marie CLAY, Hui XIONG, Kevin Michael RULEY, Francisco A. VALENZUELA, Adam T. HOYE, Mark A. CASTANARES, James KRONAUGE
  • Publication number: 20240054365
    Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a specialized prediction model, including receiving constraints, encoding genotype information in experimental data points corresponding to the constraints experiential genotype vectors, the experimental data points comprising the genotype information and phenotype information corresponding to the genotype information, training a phenotype prediction model based on the experiential genotype vectors, the corresponding phenotype information, and the one or more constraints, applying the phenotype prediction model to available genotypes corresponding to the constrains to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating, a result based on the result genotypes, the result indicating one or more genetic constructs for testing.
    Type: Application
    Filed: April 3, 2023
    Publication date: February 15, 2024
    Inventors: Eduardo Abeliuk, Juan Andrés Ramírez Neilson, Andrés Igor Pérez Manríquez, Diego Francisco Valenzuela Iturra
  • Publication number: 20240038329
    Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a combination of a generative and a predictive model, training a phenotype prediction model based on experiential genotype vectors, training a genotype generation model based on sample genotype vectors, generating new genotype vectors, applying the phenotype prediction model to the new genotype vectors to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating a result based on the result genotypes, the result indicating one or more genetic constructs for testing.
    Type: Application
    Filed: February 6, 2023
    Publication date: February 1, 2024
    Inventors: Eduardo Abeliuk, Andrés Igor Pérez Manríquez, Juan Andrés Ramírez Neilson, Diego Francisco Valenzuela Iturra
  • Patent number: 11620544
    Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a specialized prediction model, including receiving constraints, encoding genotype information in experimental data points corresponding to the constraints experiential genotype vectors, the experimental data points comprising the genotype information and phenotype information corresponding to the genotype information, training a phenotype prediction model based on the experiential genotype vectors, the corresponding phenotype information, and the one or more constraints, applying the phenotype prediction model to available genotypes corresponding to the constrains to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating, a result based on the result genotypes, the result indicating one or more genetic constructs for testing.
    Type: Grant
    Filed: December 23, 2019
    Date of Patent: April 4, 2023
    Assignee: TESELAGEN BIOTECHNOLOGY INC.
    Inventors: Eduardo Abeliuk, Juan Andrés Ramírez Neilson, Andrés Igor Pérez Manríquez, Diego Francisco Valenzuela Iturra
  • Patent number: 11574703
    Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a combination of a generative and a predictive model, training a phenotype prediction model based on experiential genotype vectors, training a genotype generation model based on sample genotype vectors, generating new genotype vectors, applying the phenotype prediction model to the new genotype vectors to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating a result based on the result genotypes, the result indicating one or more genetic constructs for testing.
    Type: Grant
    Filed: April 26, 2021
    Date of Patent: February 7, 2023
    Assignee: TESELAGEN BIOTECHNOLOGY INC.
    Inventors: Eduardo Abeliuk, Andrés Igor Pérez Manríquez, Juan Andrés Ramírez Neilson, Diego Francisco Valenzuela Iturra
  • Publication number: 20210304844
    Abstract: A method, apparatus, and computer-readable medium for optimal pooling of nucleic acid samples for next generation sequencing, including receiving sample records corresponding to samples, each sample record comprising a sample identifier and a nucleic acid reference sequence of the sample, determining unique nucleic acid reference sequences in the sample records, computing, a nucleic acid overlaps between the unique nucleic acid reference sequences, and determining an optimal grouping of the plurality of samples into a plurality of sample pools based at least in part on the nucleic acid reference sequence of each sample record, the nucleic acid overlaps between the unique nucleic acid reference sequences, and one or more constraints, the one or more constraints including a maximum overlap constraint.
    Type: Application
    Filed: March 31, 2021
    Publication date: September 30, 2021
    Inventors: Eduardo Abeliuk, Andrés Igor Pérez Manríquez, Juan Andrés Ramírez Neilson, Diego Francisco Valenzuela Iturra
  • Publication number: 20210257049
    Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a combination of a generative and a predictive model, training a phenotype prediction model based on experiential genotype vectors, training a genotype generation model based on sample genotype vectors, generating new genotype vectors, applying the phenotype prediction model to the new genotype vectors to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating a result based on the result genotypes, the result indicating one or more genetic constructs for testing.
    Type: Application
    Filed: April 26, 2021
    Publication date: August 19, 2021
    Inventors: Eduardo Abeliuk, Andrés Igor Pérez Manríquez, Juan Andrés Ramírez Neilson, Diego Francisco Valenzuela Iturra
  • Publication number: 20200202241
    Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a specialized prediction model, including receiving constraints, encoding genotype information in experimental data points corresponding to the constraints experiential genotype vectors, the experimental data points comprising the genotype information and phenotype information corresponding to the genotype information, training a phenotype prediction model based on the experiential genotype vectors, the corresponding phenotype information, and the one or more constraints, applying the phenotype prediction model to available genotypes corresponding to the constrains to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating, a result based on the result genotypes, the result indicating one or more genetic constructs for testing.
    Type: Application
    Filed: December 23, 2019
    Publication date: June 25, 2020
    Inventors: Eduardo Abeliuk, Juan Andrés Ramírez Neilson, Andrés Igor Pérez Manríquez, Diego Francisco Valenzuela Iturra
  • Patent number: 9341414
    Abstract: An evaporative cooler assembly utilizes available water runoff and a filtration mechanism to increase efficiency and maintain an existing evaporative cooler. The assembly includes a main housing and a first intake vent coupled to and extending through the main housing. A first evaporative pad positioned in the main housing adjacent to the first intake vent. A blower is positioned in the main housing for urging the ambient air through the intake vent and out of an output duct. A reservoir is provided extrinsic to the main housing. A delivery line is in fluid communication between the reservoir and the evaporative pad. A pump is operationally coupled to the delivery line urging water through the delivery line. A return line is coupled to the main housing and the reservoir wherein, the return line returns unevaporated fluid to the reservoir.
    Type: Grant
    Filed: August 30, 2013
    Date of Patent: May 17, 2016
    Inventor: Francisco Valenzuela
  • Patent number: 8872080
    Abstract: Example embodiments relate to a multiple inputs and multiple outputs (MIMO) analyzer for an accurate control of electromagnetic fields inside a multimode resonant chamber with two or more cavities coupled in an accurate way through a slotted piece with slots or waveguide. The MIMO analyzer may include broadband antennas, different types of lenses, and different stirrers, which may be both metallic and non-metallic. These elements, together with some processes such as precise location of under-test elements out of the lower cavity allow for controlling the electromagnetic fields on its interior. This control permits the emulation of the behavior of wireless communication terminals under different fading scenarios, both indoors and outdoors. Some of the features and procedures of the MIMO analyser may be used in industrial microwave heating processes for drying and curing of materials, also known as microwave ovens, allowing a greater efficiency and homogenization in the processes.
    Type: Grant
    Filed: September 3, 2009
    Date of Patent: October 28, 2014
    Assignee: Emite Ingenieria, Slne
    Inventors: Juan Francisco Valenzuela Valdes, David Agapito Sanchez Hernandez, Antonio Manuel Martinez Gonzalez, Juan Monzó Cabrera
  • Publication number: 20110155725
    Abstract: The present invention allows for an accurate control of the electromagnetic fields inside a multimode resonant chamber with two or more cavities coupled in an accurate way through a metallic plate with slots or waveguide. The multiple inputs and multiple outputs analyzer (MIMO Analyzer) features several elements such as: broadband antennas, metallic slotted plate, different types of lenses and different stirrers, both metallic and non-metallic. These elements, together with some procedures such as precise location of under-test elements out of the lower cavity allow for controlling the electromagnetic fields on its interior. This control permits the emulation of the behaviour of wireless communication terminals under different fading scenarios, both indoors and outdoors.
    Type: Application
    Filed: September 3, 2009
    Publication date: June 30, 2011
    Applicant: Emite Ingenieria, SLNE
    Inventors: Juan Francisco Valenzuela Valdes, David Agapito Sanchez Hernandez, Antonio Manuel Martinez Gonzalez, Juan Monzó Cabrera
  • Patent number: D778723
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: February 14, 2017
    Assignee: Fresenius Medical Care Holdings, Inc.
    Inventors: Francisco Valenzuela, Irving Hernandez