Patents by Inventor Alexander Rich
Alexander Rich 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).
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Patent number: 11907387Abstract: A method by one or more computing devices implementing a data insights sharing service to allow a first user of the data insights sharing service to share data insights with other users of the data insights sharing service. The method includes storing metadata describing one or more data insights, where the one or more data insights were generated based on analyzing a dataset of the first user, responsive to receiving a request from a second user to access the one or more data insights, generating the one or more data insights based on the metadata describing the one or more data insights without accessing the dataset, and providing the one or more data insights to the second user via a graphical user interface (GUI) of the data insights sharing service.Type: GrantFiled: April 7, 2021Date of Patent: February 20, 2024Assignee: Salesforce, Inc.Inventor: Alexander Rich
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Patent number: 11830592Abstract: A model-assisted system for determining a patient event date may include a processor. The processor may be programmed to access a database storing a medical record associated with a patient, the medical record comprising unstructured data; analyze the unstructured data to identify a plurality of snippets of information in the medical record associated with a patient event; determine a date associated with each of the plurality of snippets, identify a plurality of query periods associated with the patient event; and generate, for each of the query periods, a probability of whether the patient event occurred during the query period based on the plurality of snippets and the associated dates.Type: GrantFiled: March 4, 2022Date of Patent: November 28, 2023Assignee: Flatiron Health, Inc.Inventors: Alexander Rich, Barry Leybovich, Benjamin Irvine, Nisha Singh, Benjamin Birnbaum
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Publication number: 20230368877Abstract: A model-assisted system for determining probabilities associated with a patient attribute. The processor may be programmed to access a database storing an unstructured medical record associated with a patient and analyze the medical record to identify snippets of information associated with the patient attribute. The processor may generate, based on each snippet, a snippet vector comprising a plurality of snippet vector elements comprising weight values associated with at least one word included in the snippet. The processor may analyze the snippet vectors to generate a summary vector comprising a plurality of summary vector elements, wherein each of the plurality of summary vector elements is associated with a corresponding snippet vector element and is determined based on an analysis of the corresponding snippet vector element. The processor may further generate, based on the summary vector, at least one output indicative of a probability associated with the patient attribute.Type: ApplicationFiled: June 29, 2023Publication date: November 16, 2023Applicant: Flatiron Health, Inc.Inventors: Alexander Rich, Guy Amster, Griffin Adams
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Patent number: 11728014Abstract: A model-assisted system for determining probabilities associated with a patient attribute. The processor may be programmed to access a database storing an unstructured medical record associated with a patient and analyze the medical record to identify snippets of information associated with the patient attribute. The processor may generate, based on each snippet, a snippet vector comprising a plurality of snippet vector elements comprising weight values associated with at least one word included in the snippet. The processor may analyze the snippet vectors to generate a summary vector comprising a plurality of summary vector elements, wherein each of the plurality of summary vector elements is associated with a corresponding snippet vector element and is determined based on an analysis of the corresponding snippet vector element. The processor may further generate, based on the summary vector, at least one output indicative of a probability associated with the patient attribute.Type: GrantFiled: July 23, 2020Date of Patent: August 15, 2023Assignee: Flatiron Health, Inc.Inventors: Alexander Rich, Guy Amster, Griffin Adams
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Publication number: 20230097114Abstract: A model-assisted system and method for predicting health care services. In one implementation, a model-assisted system may comprise a least one processor programmed to access a database storing a medical record associated with a patient and analyze the medical record to identify a characteristic of the patient. The processor may determine a patient risk level indicating a likelihood that the patient will require a health care service within a predetermined time period; compare the patient risk level to a predetermined risk threshold; and generate a report indicating a recommended intervention for the patient. The processor may further determine a calibration factor indicating a difference between an average patient risk level and an average actual healthcare service usage for a first group of patients; and determine, based on the calibration factor, a bias relative to a second group of patients.Type: ApplicationFiled: October 5, 2022Publication date: March 30, 2023Applicant: Flatiron Health, Inc.Inventors: Pooja Shaw, Abigail Orlando, Alexander Rich, Rebecca Miksad, Dominique Connolly, Blythe Adamson, Jessie Tseng, Maya Najarian, Shreyas Lakhtakia, Joshua Kraut, Jesse Lee
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Patent number: 11476002Abstract: A model-assisted system and method for predicting health care services. In one implementation, a model-assisted system may comprise a least one processor programmed to access a database storing a medical record associated with a patient and analyze the medical record to identify a characteristic of the patient. The processor may determine a patient risk level indicating a likelihood that the patient will require a health care service within a predetermined time period; compare the patient risk level to a predetermined risk threshold; and generate a report indicating a recommended intervention for the patient. The processor may further determine a calibration factor indicating a difference between an average patient risk level and an average actual healthcare service usage for a first group of patients; and determine, based on the calibration factor, a bias relative to a second group of patients.Type: GrantFiled: December 11, 2020Date of Patent: October 18, 2022Assignee: FLATIRON HEALTH, INC.Inventors: Pooja Shaw, Abigail Orlando, Alexander Rich, Rebecca Miksad, Dominique Connolly, Blythe Adamson, Jessie Tseng, Maya Najarian, Shreyas Lakhtakia, Joshua Kraut, Jesse Lee
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Publication number: 20220327226Abstract: A method by one or more computing devices implementing a data insights sharing service to allow a first user of the data insights sharing service to share data insights with other users of the data insights sharing service. The method includes storing metadata describing one or more data insights, where the one or more data insights were generated based on analyzing a dataset of the first user, responsive to receiving a request from a second user to access the one or more data insights, generating the one or more data insights based on the metadata describing the one or more data insights without accessing the dataset, and providing the one or more data insights to the second user via a graphical user interface (GUI) of the data insights sharing service.Type: ApplicationFiled: April 7, 2021Publication date: October 13, 2022Applicant: salesforce.com, inc.Inventor: Alexander Rich
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Publication number: 20220284999Abstract: A model-assisted system for determining a patient event date may include a processor. The processor may be programmed to access a database storing a medical record associated with a patient, the medical record comprising unstructured data; analyze the unstructured data to identify a plurality of snippets of information in the medical record associated with a patient event; determine a date associated with each of the plurality of snippets, identify a plurality of query periods associated with the patient event; and generate, for each of the query periods, a probability of whether the patient event occurred during the query period based on the plurality of snippets and the associated dates.Type: ApplicationFiled: March 4, 2022Publication date: September 8, 2022Inventors: Alexander Rich, Barry Leybovich, Benjamin Irvine, Nisha Singh, Benjamin Birnbaum
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Publication number: 20220208376Abstract: A model-assisted system for identifying a group of patients for a cohort using a generalized biomarker model may include a processor programmed to provide, to a generalized biomarker model, a first biomarker associated with a cohort, the generalized biomarker model being trained based on one or more second biomarkers; receive, from the generalized biomarker model, an output indicating a plurality of individuals with associated likelihoods of at least one of: having an attribute associated with the third biomarker or having been tested for the attribute associated with the first biomarker; determine a likelihood threshold based on a predetermined cohort size associated with the first biomarker and identify, based on the output, a group of the plurality of individuals for inclusion in a cohort, each individual in the group of the plurality of individuals being associated with a likelihood received from the generalized biomarker model that satisfies the likelihood threshold.Type: ApplicationFiled: December 29, 2021Publication date: June 30, 2022Inventors: Lauren Sutton, David Light, Claire Saint-Donat, Frank Chen, Alexander Rich, Barry Leybovich, Prakrit Baruah, Nisha Singh, Forrest Xiao, Edward Liu
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Publication number: 20210296000Abstract: A model-assisted system and method for predicting health care services. In one implementation, a model-assisted system may comprise a least one processor programmed to access a database storing a medical record associated with a patient and analyze the medical record to identify a characteristic of the patient. The processor may determine a patient risk level indicating a likelihood that the patient will require a health care service within a predetermined time period; compare the patient risk level to a predetermined risk threshold; and generate a report indicating a recommended intervention for the patient. The processor may further determine a calibration factor indicating a difference between an average patient risk level and an average actual healthcare service usage for a first group of patients; and determine, based on the calibration factor, a bias relative to a second group of patients.Type: ApplicationFiled: December 11, 2020Publication date: September 23, 2021Applicant: Flatiron Health, Inc.Inventors: Pooja Shaw, Abigail Orlando, Alexander Rich, Rebecca Miksad, Dominique Connolly, Blythe Adamson, Jessie Tseng, Maya Najarian, Shreyes Lakhtakia, Joshua Kraut, Jesse Lee
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Patent number: 11068244Abstract: System and methods are described to parse input source code and generate a tree representing the input source code, optimize the tree by determining reusable sub-trees of the tree and replacing the reusable sub-trees with variables, and transpile the optimized tree to generate output source code.Type: GrantFiled: October 1, 2019Date of Patent: July 20, 2021Assignee: salesforce.com, inc.Inventors: Alexander Rich, Jinai Kathiara
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Patent number: 11010143Abstract: Systems and methods for executing a formula written using a formula language may include receiving a formula written using a formula language, the formula associated with a record of a database; transpiling the formula in the formula language to a program code in a programming language; and executing the formula based on the program code.Type: GrantFiled: September 28, 2018Date of Patent: May 18, 2021Assignee: salesforce.com, inc.Inventors: Alexander Rich, Ramachandran Bakthavachalam, Vinay Menon
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Patent number: 11003427Abstract: Systems and methods for generating and testing formulas written using a formula language may include receiving, by a server computing system, in a formula input area a formula written using a formula language, the formula associated with a record in a database; displaying, by the server computing system, one or more fields in a field area based on the one or more fields being included in the formula, the one or more fields associated with the record; enabling, by the server computing system, a value associated with the one or more fields to be modified based on the one or more fields being included in the formula; and displaying, by the server computing system, in a result area a result generated based on execution of the formula, wherein the result area is to be visible concurrently with the formula input area and the field area.Type: GrantFiled: September 28, 2018Date of Patent: May 11, 2021Assignee: salesforce.com, inc.Inventors: Alexander Rich, Ramachandran Bakthavachalam, Vinay Menon
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Publication number: 20210096832Abstract: System and methods are described to parse input source code and generate a tree representing the input source code, optimize the tree by determining reusable sub-trees of the tree and replacing the reusable sub-trees with variables, and transpile the optimized tree to generate output source code.Type: ApplicationFiled: October 1, 2019Publication date: April 1, 2021Inventors: Alexander RICH, Jinai KATHIARA
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Publication number: 20210027894Abstract: A model-assisted system for determining probabilities associated with a patient attribute. The processor may be programmed to access a database storing an unstructured medical record associated with a patient and analyze the medical record to identify snippets of information associated with the patient attribute. The processor may generate, based on each snippet, a snippet vector comprising a plurality of snippet vector elements comprising weight values associated with at least one word included in the snippet. The processor may analyze the snippet vectors to generate a summary vector comprising a plurality of summary vector elements, wherein each of the plurality of summary vector elements is associated with a corresponding snippet vector element and is determined based on an analysis of the corresponding snippet vector element. The processor may further generate, based on the summary vector, at least one output indicative of a probability associated with the patient attribute.Type: ApplicationFiled: July 23, 2020Publication date: January 28, 2021Applicant: Flatiron Health, Inc.Inventors: Alexander Rich, Guy Amster, Griffin Adams
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Publication number: 20200104104Abstract: Systems and methods for generating and testing formulas written using a formula language may include receiving, by a server computing system, in a formula input area a formula written using a formula language, the formula associated with a record in a database; displaying, by the server computing system, one or more fields in a field area based on the one or more fields being included in the formula, the one or more fields associated with the record; enabling, by the server computing system, a value associated with the one or more fields to be modified based on the one or more fields being included in the formula; and displaying, by the server computing system, in a result area a result generated based on execution of the formula, wherein the result area is to be visible concurrently with the formula input area and the field area.Type: ApplicationFiled: September 28, 2018Publication date: April 2, 2020Inventors: Alexander Rich, Ramachandran Bakthavachalam, Vinay Menon
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Publication number: 20200104105Abstract: Systems and methods for executing a formula written using a formula language may include receiving a formula written using a formula language, the formula associated with a record of a database; transpiling the formula in the formula language to a program code in a programming language; and executing the formula based on the program code.Type: ApplicationFiled: September 28, 2018Publication date: April 2, 2020Inventors: Alexander Rich, Ramachandran Bakthavachalam, Vinay Menon
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Publication number: 20180312562Abstract: The present invention is directed to water-soluble membrane proteins, methods for the preparation thereof and methods of use thereof.Type: ApplicationFiled: July 13, 2018Publication date: November 1, 2018Inventors: Shuguang Zhang, Alexander Rich, Karolina Corin, Lotta Tolstoy Tegler
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Patent number: 10035837Abstract: The present invention is directed to a method of preparing a water-soluble variant of a G-protein coupled receptor (GPCR), the method comprising replacing residues leucine (L), isoleucine (I), valine (V), and phenylalanine (F) in hydrophilic surface ?-helical positions b, c, and f but not positions a, d, e, and g within the 7-transmembrane ?-helical domain of the GPCR with glutamine (Q), threonine (T), threonine (T), and tyrosine (Y), respectively.Type: GrantFiled: March 23, 2016Date of Patent: July 31, 2018Assignee: Massachusetts Institute of TechnologyInventors: Shuguang Zhang, Alexander Rich, Karolina Corin, Lotta Tolstoy Tegler
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Publication number: 20160264640Abstract: The present invention is directed to water-soluble membrane proteins, methods for the preparation thereof and methods of use thereof.Type: ApplicationFiled: March 23, 2016Publication date: September 15, 2016Applicant: Massachusetts Institute of TechnologyInventors: Shuguang Zhang, Alexander Rich, Karolina Corin, Lotta Tolstoy Tegler