Patents by Inventor Michael Wiseman

Michael Wiseman 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: 12346923
    Abstract: Disclosed herein are system, method, and computer program product embodiments for probabilistic search biasing and recommendations. A system including at least one processor may be configured to receive an input relating to an identified item, generate a database query based on the input, and receive a response to the database query. The response may include information on comparable items similar to the identified item, and corresponding metadata for the comparable items. The corresponding metadata may include a range of values corresponding to the comparable items. The system may be further configured to generate a probability score for at least two values of the range of values, based at least on the corresponding metadata for the comparable items. The system may be further configured to output at least a suggested value based on at least the generated probability score for the range of values and prompt for further input.
    Type: Grant
    Filed: March 11, 2022
    Date of Patent: July 1, 2025
    Assignee: MERCARI, INC.
    Inventors: Byong Mok Oh, Dhruv Mehrotra, Chiaki Osaka, Naoya Makino, Patrick Michael Wiseman, Minami Sueyasu
  • Patent number: 12260351
    Abstract: Methods and systems for automatically predicting the probability of regulatory compliance approval based on data contained in a data structure. A data structure can be configured to include data collated and collected from one or more regulators (e.g., regulatory agencies) and one or more value chain participants. Such data is inclusive of data indicative of actual approval-request results of applications for regulatory approval by one or more regulators and variable weights assigned to different data elements. A prediction can be then made as to the probability that an application for regulatory approval by a value chain participant will be approved by a regulator based on the data collated and collected and contained in the data structure. This approach predicts the probability that an application for regulatory approval by a value chain participant will be approved and also predicts what is missing for a regulatory approval application.
    Type: Grant
    Filed: November 2, 2018
    Date of Patent: March 25, 2025
    Assignee: Xerox Corporation
    Inventors: Jonathan Levine, Ray Uri Merriam, Stephen Kyle Korndoerfer, Larry Glass, Michael Wiseman, Vijayakrishna Nama, Joseph Martin St. Germaine
  • Patent number: 12223522
    Abstract: Disclosed herein are system, method, and computer program product embodiments for probabilistic search biasing and recommendations. A system including at least one processor may be configured to receive an input relating to an identified item, generate a database query based on the input, and receive a response to the database query. The response may include information on comparable items similar to the identified item, and corresponding metadata for the comparable items. The corresponding metadata may include a range of values corresponding to the comparable items. The system may be further configured to generate a probability score for at least two values of the range of values, based at least on the corresponding metadata for the comparable items. The system may be further configured to output at least a suggested value based on at least the generated probability score for the range of values and prompt for further input.
    Type: Grant
    Filed: March 11, 2022
    Date of Patent: February 11, 2025
    Assignee: MERCARI, INC.
    Inventors: Byong Mok Oh, Dhruv Mehrotra, Chiaki Osaka, Naoya Makino, Patrick Michael Wiseman, Minami Sueyasu
  • Publication number: 20220270121
    Abstract: Disclosed herein are system, method, and computer program product embodiments for probabilistic search biasing and recommendations. A system including at least one processor may be configured to receive an input relating to an identified item, generate a database query based on the input, and receive a response to the database query. The response may include information on comparable items similar to the identified item, and corresponding metadata for the comparable items. The corresponding metadata may include a range of values corresponding to the comparable items. The system may be further configured to generate a probability score for at least two values of the range of values, based at least on the corresponding metadata for the comparable items. The system may be further configured to output at least a suggested value based on at least the generated probability score for the range of values and prompt for further input.
    Type: Application
    Filed: March 11, 2022
    Publication date: August 25, 2022
    Applicant: Mercari Inc.
    Inventors: Byong Mok OH, Dhruv MEHROTRA, Chiaki OSAKA, Naoya MAKINO, Patrick Michael WISEMAN, Minami SUEYASU
  • Patent number: 11282100
    Abstract: Disclosed herein are system, method, and computer program product embodiments for probabilistic search biasing and recommendations. A system including at least one processor may be configured to receive an input relating to an identified item, generate a database query based on the input, and receive a response to the database query. The response may include information on comparable items similar to the identified item, and corresponding metadata for the comparable items. The corresponding metadata may include a range of values corresponding to the comparable items. The system may be further configured to generate a probability score for at least two values of the range of values, based at least on the corresponding metadata for the comparable items. The system may be further configured to output at least a suggested value based on at least the generated probability score for the range of values and prompt for further input.
    Type: Grant
    Filed: February 28, 2019
    Date of Patent: March 22, 2022
    Assignee: Mercari, Inc.
    Inventors: Byong Mok Oh, Dhruv Mehrotra, Chiaki Osaka, Naoya Makino, Patrick Michael Wiseman, Minami Sueyasu
  • Patent number: 11168962
    Abstract: A system. The system includes one or more self-sealing panels and a cap member. The one or more self-sealing panels substantially cover an exterior surface of a liquid container. The cap member covers at least one of the following: one or more portions of the exterior surface of the liquid container; and an exterior surface of at least one of the one or more self-sealing panels.
    Type: Grant
    Filed: May 24, 2012
    Date of Patent: November 9, 2021
    Assignee: HUTCHINSON S.A.
    Inventors: David Bongiovanni, Michael Wiseman, Adam Janicki, Eric Forster
  • Patent number: 11115462
    Abstract: A distributed system is disclosed in which one or more servers respond to requests for content including hyperlinks. Hyperlinks provide an interactive visual manifestation of an underlying reference to a resource. By using a graphical user interface provided by the device, a user is able to select a hyperlink, and thereby control the device to obtain the resource to which the underlying reference refers. However, if a user selects a hyperlink and the device is unable to follow the underlying reference to obtain the resource, user disappointment results. By arranging the server, on providing visual content including one or more hyperlinks, to attempt (212) to follow the references underlying the hyperlinks, and to alter (216) the appearance of any hyperlink for which the underlying reference could not be followed, users are alerted to the likelihood that selecting the hyperlink will not lead to them obtaining the resource. In this way, user disappointment is avoided.
    Type: Grant
    Filed: January 28, 2014
    Date of Patent: September 7, 2021
    Assignee: BRITISH TELECOMMUNICATIONS public limited company
    Inventor: Richard Michael Wiseman
  • Patent number: 11074634
    Abstract: Disclosed herein are system, method, and computer program product embodiments for probabilistic item matching and searching. A system including at least one processor may be configured to receive a data point relating to a specific item, generate a database query based on the data point, and receive a response to the database query. The response may include multiple candidate items relating to the specific item. The system may be further configured to receive a first input relating to the specific item and generate a probability score for at least two candidate items of the multiple candidate items in the response, based on at least the second input. The system may be further configured to select a selected item from the candidate items, based on the probability score for the selected item. The system may be further configured to output a reference to, or value representing, the selected item.
    Type: Grant
    Filed: February 28, 2019
    Date of Patent: July 27, 2021
    Assignee: Mercari, Inc.
    Inventors: Byong Mok Oh, Dhruv Mehrotra, Chiaki Osaka, Naoya Makino, Patrick Michael Wiseman, Minami Sueyasu
  • Publication number: 20200143277
    Abstract: Methods and systems for automatically predicting the probability of regulatory compliance approval based on data contained in a data structure. A data structure can be configured to include data collated and collected from one or more regulators (e.g., regulatory agencies) and one or more value chain participants. Such data is inclusive of data indicative of actual approval-request results of applications for regulatory approval by one or more regulators and variable weights assigned to different data elements. A prediction can be then made as to the probability that an application for regulatory approval by a value chain participant will be approved by a regulator based on the data collated and collected and contained in the data structure. This approach predicts the probability that an application for regulatory approval by a value chain participant will be approved and also predicts what is missing for a regulatory approval application.
    Type: Application
    Filed: November 2, 2018
    Publication date: May 7, 2020
    Inventors: Jonathan Levine, Ray Uri Merriam, Stephen Kyle Korndoerfer, Larry Glass, Michael Wiseman, Vijayakrishna Nama, Joseph Martin St. Germaine
  • Publication number: 20200134691
    Abstract: The present development is a system for ranking and rating competing healthcare insurance options available in a marketplace based on metrics relevant to an enrollee or patient.
    Type: Application
    Filed: October 31, 2018
    Publication date: April 30, 2020
    Inventor: Michael Wiseman, SR.
  • Publication number: 20200104897
    Abstract: Disclosed herein are system, method, and computer program product embodiments for probabilistic item matching and searching. A system including at least one processor may be configured to receive a data point relating to a specific item, generate a database query based on the data point, and receive a response to the database query. The response may include multiple candidate items relating to the specific item. The system may be further configured to receive a first input relating to the specific item and generate a probability score for at least two candidate items of the multiple candidate items in the response, based on at least the second input. The system may be further configured to select a selected item from the candidate items, based on the probability score for the selected item. The system may be further configured to output a reference to, or value representing, the selected item.
    Type: Application
    Filed: February 28, 2019
    Publication date: April 2, 2020
    Applicant: Mercari Inc.
    Inventors: Byong Mok OH, Dhruv MEHROTRA, Chiaki OSAKA, Naoya MAKINO, Patrick Michael WISEMAN, Minami SUEYASU
  • Publication number: 20200104869
    Abstract: Disclosed herein are system, method, and computer program product embodiments for probabilistic search biasing and recommendations. A system including at least one processor may be configured to receive an input relating to an identified item, generate a database query based on the input, and receive a response to the database query. The response may include information on comparable items similar to the identified item, and corresponding metadata for the comparable items. The corresponding metadata may include a range of values corresponding to the comparable items. The system may be further configured to generate a probability score for at least two values of the range of values, based at least on the corresponding metadata for the comparable items. The system may be further configured to output at least a suggested value based on at least the generated probability score for the range of values and prompt for further input.
    Type: Application
    Filed: February 28, 2019
    Publication date: April 2, 2020
    Applicant: Mercari Inc.
    Inventors: Byong Mok Oh, Dhruv Mehrotra, Chiaki Osaka, Naoya Makino, Patrick Michael Wiseman, Minami Sueyasu
  • Patent number: 10422009
    Abstract: A system for classifying thyroid nodule tissue as malignant or benign is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated to with either malignant or benign thyroid nodule disease. The thyroid classification system provides for sets of “thyroid classifying” target sequences and further provides for combinations of polynucleotide probes and primers derived there from. These combinations of polynucleotide probes can be provided in solution or as an array. The combination of probes and the arrays can be used for diagnosis. The invention further provides further methods of classifying thyroid nodule tissue.
    Type: Grant
    Filed: June 19, 2017
    Date of Patent: September 24, 2019
    Assignee: GenomeDx Biosciences Inc.
    Inventors: Elai Davicioni, Sam Michael Wiseman
  • Publication number: 20180112275
    Abstract: A system for classifying thyroid nodule tissue as malignant or benign is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated to with either malignant or benign thyroid nodule disease. The thyroid classification system provides for sets of “thyroid classifying” target sequences and further provides for combinations of polynucleotide probes and primers derived there from. These combinations of polynucleotide probes can be provided in solution or as an array. The combination of probes and the arrays can be used for diagnosis. The invention further provides further methods of classifying thyroid nodule tissue.
    Type: Application
    Filed: June 19, 2017
    Publication date: April 26, 2018
    Inventors: Elai DAVICIONI, Sam Michael WISEMAN
  • Publication number: 20180030540
    Abstract: A system for classifying thyroid nodule tissue as malignant or benign is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated to with either malignant or benign thyroid nodule disease. The thyroid classification system provides for sets of “thyroid classifying” target sequences and further provides for combinations of polynucleotide probes and primers derived there from. These combinations of polynucleotide probes can be provided in solution or as an array. The combination of probes and the arrays can be used for diagnosis. The invention further provides further methods of classifying thyroid nodule tissue.
    Type: Application
    Filed: February 23, 2017
    Publication date: February 1, 2018
    Inventors: Elai DAVICIONI, Sam Michael WISEMAN
  • Patent number: 9714452
    Abstract: A system for classifying thyroid nodule tissue as malignant or benign is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated to with either malignant or benign thyroid nodule disease. The thyroid classification system provides for sets of “thyroid classifying” target sequences and further provides for combinations of polynucleotide probes and primers derived there from. These combinations of polynucleotide probes can be provided in solution or as an array. The combination of probes and the arrays can be used for diagnosis. The invention further provides further methods of classifying thyroid nodule tissue.
    Type: Grant
    Filed: June 1, 2015
    Date of Patent: July 25, 2017
    Assignee: GENOMEDX BIOSCIENCES INC.
    Inventors: Elai Davicioni, Sam Michael Wiseman
  • Patent number: 9617604
    Abstract: A system for classifying thyroid nodule tissue as malignant or benign is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated to with either malignant or benign thyroid nodule disease. The thyroid classification system provides for sets of “thyroid classifying” target sequences and further provides for combinations of polynucleotide probes and primers derived there from. These combinations of polynucleotide probes can be provided in solution or as an array. The combination of probes and the arrays can be used for diagnosis. The invention further provides further methods of classifying thyroid nodule tissue.
    Type: Grant
    Filed: October 29, 2015
    Date of Patent: April 11, 2017
    Assignee: GENOMEDX BIOSCIENCES, INC.
    Inventors: Elai Davicioni, Sam Michael Wiseman
  • Publication number: 20160076108
    Abstract: A system for classifying thyroid nodule tissue as malignant or benign is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated to with either malignant or benign thyroid nodule disease. The thyroid classification system provides for sets of “thyroid classifying” target sequences and further provides for combinations of polynucleotide probes and primers derived there from. These combinations of polynucleotide probes can be provided in solution or as an array. The combination of probes and the arrays can be used for diagnosis. The invention further provides further methods of classifying thyroid nodule tissue.
    Type: Application
    Filed: October 29, 2015
    Publication date: March 17, 2016
    Inventors: Elai Davicioni, Sam Michael Wiseman
  • Publication number: 20150358397
    Abstract: A distributed system is disclosed in which one or more servers respond to requests for content including hyperlinks. Hyperlinks provide an interactive visual manifestation of an underlying reference to a resource. By using a graphical user interface provided by the device, a user is able to select a hyperlink, and thereby control the device to obtain the resource to which the underlying reference refers. However, if a user selects a hyperlink and the device is unable to follow the underlying reference to obtain the resource, user disappointment results. By arranging the server, on providing visual content including one or more hyperlinks, to attempt (212) to follow the references underlying the hyperlinks, and to alter (216) the appearance of any hyperlink for which the underlying reference could not be followed, users are alerted to the likelihood that selecting the hyperlink will not lead to them obtaining the resource. In this way, user disappointment is avoided.
    Type: Application
    Filed: January 28, 2014
    Publication date: December 10, 2015
    Applicant: British Telecommunications Public Limited Company
    Inventor: Richard Michael WISEMAN
  • Patent number: 9206482
    Abstract: A system for classifying thyroid nodule tissue as malignant or benign is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated to with either malignant or benign thyroid nodule disease. The thyroid classification system provides for sets of “thyroid classifying” target sequences and further provides for combinations of polynucleotide probes and primers derived there from. These combinations of polynucleotide probes can be provided in solution or as an array. The combination of probes and the arrays can be used for diagnosis. The invention further provides further methods of classifying thyroid nodule tissue.
    Type: Grant
    Filed: April 29, 2010
    Date of Patent: December 8, 2015
    Assignee: GenomeDx Biosciences Inc.
    Inventors: Elai Davicioni, Sam Michael Wiseman