Patents by Inventor Meera Rao

Meera Rao 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: 11947946
    Abstract: Disclosed herein are system, computer-implemented method, and computer program product (computer-readable storage medium) embodiments for implementing an intelligent DevSecOps workflow. An embodiment includes receiving, by at least one processor, a risk profile associated with a software deployment, and an update related to the software deployment; and evaluating, by the at least one processor, at least one parameter associated with the update, to produce an evaluation result. Additionally, the at least one processor may determine a set of actions in response to the update, based at least in part on the evaluation result, an application dataset corresponding to the software deployment, and a group of specified criteria on which the risk profile is based; or perform at least one action of the set of actions in response to the update, according to some example use cases.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: April 2, 2024
    Assignee: Synopsys, Inc.
    Inventor: Meera Rao
  • Patent number: 11907332
    Abstract: Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: February 20, 2024
    Assignee: Included Health, Inc.
    Inventors: Nathaniel Freese, Meera Rao, Rick Wolf, Peyton Rose, Stephen Martin, Sameer Soi, Zachary Taylor, Ye Wang
  • Publication number: 20230286973
    Abstract: Provided herein are secretion inhibitors, such as inhibitors of Sec61 for example of Formula (I), methods for their preparation, related pharmaceutical compositions, and method for using the same.
    Type: Application
    Filed: August 31, 2021
    Publication date: September 14, 2023
    Inventors: Dustin McMinn, Meera Rao
  • Publication number: 20220309286
    Abstract: Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.
    Type: Application
    Filed: January 13, 2022
    Publication date: September 29, 2022
    Applicant: Includede Health, Inc.
    Inventors: Nathaniel Freese, Meera Rao, Rick Wolf, Peyton Rose, Stephen Martin, Sameer Soi, Zachary Taylor, Ye Wang
  • Publication number: 20220153732
    Abstract: Provided herein are secretion inhibitors, such as inhibitors of Sec61, methods for their preparation, related pharmaceutical compositions, and methods for using the same, wherein the compound has a structure of Formula (I), (II), or (III).
    Type: Application
    Filed: February 28, 2020
    Publication date: May 19, 2022
    Inventors: Dustin McMinn, Meera Rao
  • Patent number: 11227184
    Abstract: Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.
    Type: Grant
    Filed: March 23, 2021
    Date of Patent: January 18, 2022
    Assignee: GRAND ROUNDS, INC.
    Inventors: Nathaniel Freese, Meera Rao, Rick Wolf, Peyton Rose, Stephen Martin, Sameer Soi, Zachary Taylor, Ye Wang
  • Patent number: 10370407
    Abstract: Methods for preparing a protein conjugate having a defined number of conjugate groups are provided. The method includes: forming a mixture containing a macrocyclic matrix material and a plurality of proteins; eluting the proteins to obtain a first separated protein fraction and a second separated protein fraction, wherein substantially all of the proteins in the first separated protein fraction have the same number of handle moieties; contacting the handle moieties with a conversion reagent under conditions sufficient to convert the handle moieties in the first separated protein fraction to reactive moieties; and contacting the reactive moieties with a conjugation reagent under conditions sufficient to form a plurality of protein conjugates, wherein substantially all of the protein conjugates in the plurality have the same number of conjugate groups. Methods also include recovering enzymes and other proteins from mixtures for isolation and/or reuse of the enzymes and proteins.
    Type: Grant
    Filed: January 21, 2016
    Date of Patent: August 6, 2019
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Richard L. Kwant, Matthew B. Francis, Christian B. Rosen, Meera Rao
  • Publication number: 20180148472
    Abstract: Methods for preparing a protein conjugate having a defined number of conjugate groups are provided. The method includes: forming a mixture containing a macrocyclic matrix material and a plurality of proteins; eluting the proteins to obtain a first separated protein fraction and a second separated protein fraction, wherein substantially all of the proteins in the first separated protein fraction have the same number of handle moieties; contacting the handle moieties with a conversion reagent under conditions sufficient to convert the handle moieties in the first separated protein fraction to reactive moieties; and contacting the reactive moieties with a conjugation reagent under conditions sufficient to form a plurality of protein conjugates, wherein substantially all of the protein conjugates in the plurality have the same number of conjugate groups. Methods also include recovering enzymes and other proteins from mixtures for isolation and/or reuse of the enzymes and proteins.
    Type: Application
    Filed: January 21, 2016
    Publication date: May 31, 2018
    Inventors: Richard L. Kwant, Matthew B. Francis, Christian B. Rosen, Meera Rao
  • Publication number: 20120216105
    Abstract: A method can be used for creating a document associated with a technology to be implemented and containing at least one of the non-functional requirements required for the technology. The method utilizes a memory and a computer device in communication with the memory, as well as a framework tool that may be stored in the memory. The framework tool includes a plurality of non-functional requirement forms for use in creating a plurality of non-functional requirements. Each of the non-functional requirements is associated with one of the non-functional requirement forms. One or more of the non-functional requirement forms may require user input for completion to create the associated non-functional requirement. The document is created utilizing the computer device, by determining which of the non-functional requirements are required to be created for the technology, creating each required non-functional requirement, and adding each required non-functional requirement to the document.
    Type: Application
    Filed: February 18, 2011
    Publication date: August 23, 2012
    Applicant: Bank of America Corporation
    Inventors: Kailash Poddar, Meera Rao