Patents by Inventor Michael Singer

Michael Singer 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: 11427961
    Abstract: A unitary deflection member. The unitary deflection member can have a fluid pervious reinforcing member and a patterned framework. The patterned framework can have a plurality of regularly spaced protuberances extending from the reinforcing member. At least two of said protuberances can be similar in size and shape, and each protuberance can have a transition portion having a transition portion width and a forming portion having a forming portion width. The transition portion width can be less than the forming portion width.
    Type: Grant
    Filed: December 17, 2020
    Date of Patent: August 30, 2022
    Assignee: The Procter & Gamble Company
    Inventors: John Allen Manifold, John Leslie Brent, Jr., James Michael Singer
  • Patent number: 11399729
    Abstract: Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: August 2, 2022
    Assignee: HeartFlow, Inc.
    Inventors: Timothy Fonte, Gilwoo Choi, Leo J. Grady, Michael Singer
  • Patent number: 11382569
    Abstract: Systems and methods are disclosed for estimating patient-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, a geometric model and estimated blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the geometric model and estimated blood flow characteristics for each of the plurality of individuals; identifying, using the machine learning algorithm, features predictive of blood flow characteristics corresponding to a plurality of points in the geometric models; acquiring, for a patient, a geometric model of at least part of the patient's vascular system; and using the identified features to produce estimates of the patient's blood flow characteristic for each of a plurality of points in the patient's geometric model.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: July 12, 2022
    Assignee: HeartFlow, Inc.
    Inventors: Leo Grady, Gilwoo Choi, Michael Singer
  • Publication number: 20220203178
    Abstract: A golf ball dispenser includes: a receptacle configured to hold multiple golf balls; a passageway connecting an outlet of the golf dispenser with the receptacle; a gateway coupled between the passageway and the receptacle to restrict a passage of the multiple golf balls into the passageway, the gateway being selectively moveable to allow a golf ball to pass into the passageway for delivery to a tee area; and a display device embedded in the golf ball dispenser to present at least information regarding the golf ball in flight after the golf ball is hit from the tee area. Further, methods, systems, and apparatus, including medium-encoded computer program products, for use with such golf ball dispensers, can control holding and dispensing of golf balls at a golf facility, e.g., a driving range.
    Type: Application
    Filed: March 18, 2022
    Publication date: June 30, 2022
    Inventors: Brian David Burdette, Andrew David Macaulay, Clinton Scott Lovejoy, William Kevin Miner, Theodore YuChiang Cheng, Mark Joseph Semsak, Gabriel Heath Denk, Justin Dean Pendleton, Brian Lee Roderman, David Christopher Singer, Clifton Frederick Geisler, Scott Michael Thibeault, Frances Meng Wang, Michael Ryan Petri, Kenneth John Buras, JR.
  • Publication number: 20220208389
    Abstract: A computer-implemented method for simulating blood flow through one or more coronary blood vessels may first involve receiving patient-specific data, including imaging data related to one or more coronary blood vessels, and at least one clinically measured flow parameter. Next, the method may involve generating a digital model of the one or more coronary blood vessels, based at least partially on the imaging data, discretizing the model, applying boundary conditions to a portion of the digital model that contains the one or more coronary blood vessels, and initializing and solving mathematical equations of blood flow through the model to generate computerized flow parameters. Finally, the method may involve comparing the computerized flow parameters with the at least one clinically measured flow parameter.
    Type: Application
    Filed: March 21, 2022
    Publication date: June 30, 2022
    Applicant: Stenomics, Inc.
    Inventor: Michael A. SINGER
  • Patent number: 11315690
    Abstract: A computer-implemented method for simulating blood flow through one or more coronary blood vessels may first involve receiving patient-specific data, including imaging data related to one or more coronary blood vessels, and at least one clinically measured flow parameter. Next, the method may involve generating a digital model of the one or more coronary blood vessels, based at least partially on the imaging data, discretizing the model, applying boundary conditions to a portion of the digital model that contains the one or more coronary blood vessels, and initializing and solving mathematical equations of blood flow through the model to generate computerized flow parameters. Finally, the method may involve comparing the computerized flow parameters with the at least one clinically measured flow parameter.
    Type: Grant
    Filed: September 20, 2019
    Date of Patent: April 26, 2022
    Assignee: Stenomics, Inc.
    Inventor: Michael A. Singer
  • Patent number: 11207213
    Abstract: A medical instrument and method is described for facilitating lacrimal occlusion. The instrument has two arms for holding a plug being inserted through the punctum, each arm having a distal end and a proximal end. Attached to the proximal end of the arms is a dilator oriented in the opposite direction along the longitudinal axis of the instrument. The instrument is conveniently rotated in the hand of the practitioner to alternately present the functioning end of the instrument as either the distal end of the arms (for holding a plug) or the distal end of the dilator (for enlarging the punctum prior to attempting to inserting the plug). The instrument has a means for moving the two arms near to each other and away from each, and a means for holding the two arms near to each other without requiring closing pressure applied by the practitioner.
    Type: Grant
    Filed: March 21, 2019
    Date of Patent: December 28, 2021
    Inventors: Michael A. Singer, Jeffrey Cheesman, James Aman
  • Publication number: 20210338908
    Abstract: Systems and methods for estimating the post-treatment ultrafiltration rate of a patient are provided. A medical device can be configured to determine an estimated post-treatment ultrafiltration rate based on one or more values associated with a patient prepared to undergo treatment with the medical device. The medical device can also be configured to compare the estimated post-treatment ultrafiltration rate with one or more threshold values. The medical device can be configured to have an alert module, which can be activated when the estimated post-treatment ultrafiltration rate exceeds the one or more threshold values.
    Type: Application
    Filed: May 14, 2021
    Publication date: November 4, 2021
    Inventors: Michael Singer, Shawn Sobelman, Robert Kossmann, Martin Joseph Crnkovich, Roland Levin
  • Publication number: 20210257097
    Abstract: A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract.
    Type: Application
    Filed: April 23, 2021
    Publication date: August 19, 2021
    Applicant: Stenomics, Inc.
    Inventor: Michael A. SINGER
  • Publication number: 20210241914
    Abstract: A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract.
    Type: Application
    Filed: April 23, 2021
    Publication date: August 5, 2021
    Applicant: Stenomics, Inc.
    Inventor: Michael A. SINGER
  • Publication number: 20210241913
    Abstract: A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract.
    Type: Application
    Filed: April 23, 2021
    Publication date: August 5, 2021
    Applicant: Stenomics, Inc.
    Inventor: Michael A. SINGER
  • Publication number: 20210241915
    Abstract: A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract.
    Type: Application
    Filed: April 23, 2021
    Publication date: August 5, 2021
    Applicant: Stenomics, Inc.
    Inventor: Michael A. SINGER
  • Patent number: 11024426
    Abstract: A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: June 1, 2021
    Assignee: Stenomics, Inc.
    Inventor: Michael A. Singer
  • Patent number: 11024425
    Abstract: A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: June 1, 2021
    Assignee: Stenomics, Inc.
    Inventor: Michael A. Singer
  • Patent number: 11013425
    Abstract: Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: May 25, 2021
    Assignee: HeartFlow, Inc.
    Inventors: Timothy A. Fonte, Gilwoo Choi, Leo Grady, Michael Singer
  • Patent number: 11007310
    Abstract: Systems and methods for estimating the post-treatment ultrafiltration rate of a patient are provided. A medical device can be configured to determine an estimated post-treatment ultrafiltration rate based on one or more values associated with a patient prepared to undergo treatment with the medical device. The medical device can also be configured to compare the estimated post-treatment ultrafiltration rate with one or more threshold values. The medical device can be configured to have an alert module, which can be activated when the estimated post-treatment ultrafiltration rate exceeds the one or more threshold values.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: May 18, 2021
    Assignee: Fresenius Medical Care Holdings, Inc.
    Inventors: Michael Singer, Shawn Sobelman, Robert Kossmann, Martin Joseph Crnkovich, Roland Levin
  • Publication number: 20210108368
    Abstract: A seamless unitary deflection member. The seamless unitary deflection member can have a backside defining an X-Y plane and a thickness in a Z-direction. The seamless unitary deflection member may also have a reinforcing member and a plurality of protuberances positioned on the reinforcing member. Each protuberance may have a three-dimensional shape such that any cross-sectional area of the protuberance parallel to the X-Y plane can have an equal or lesser area than any cross-sectional area of the protuberance being a greater distance from the X-Y plane in the Z-direction.
    Type: Application
    Filed: December 17, 2020
    Publication date: April 15, 2021
    Inventors: John Allen Manifold, John Leslie Brent, James Michael Singer
  • Publication number: 20210102338
    Abstract: A unitary deflection member. The unitary deflection member can have a fluid pervious reinforcing member and a patterned framework. The patterned framework can have a plurality of regularly spaced protuberances extending from the reinforcing member. At least two of said protuberances can be similar in size and shape, and each protuberance can have a transition portion having a transition portion width and a forming portion having a forming portion width. The transition portion width can be less than the forming portion width.
    Type: Application
    Filed: December 17, 2020
    Publication date: April 8, 2021
    Inventors: John Allen Manifold, John Leslie Brent, JR., James Michael Singer
  • Patent number: 10966619
    Abstract: Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.
    Type: Grant
    Filed: April 24, 2018
    Date of Patent: April 6, 2021
    Assignee: HeartFlow, Inc.
    Inventors: Timothy A. Fonte, Gilwoo Choi, Leo Grady, Michael Singer
  • Publication number: 20210071362
    Abstract: A deflection member that includes a reinforcing member that includes a resin coating, and at least one tile fastened to the resin coating.
    Type: Application
    Filed: November 9, 2020
    Publication date: March 11, 2021
    Inventors: John Leslie Brent, James Michael Singer, John Allen Manifold, Eric James Watkins, Mario Castillo, Jeffrey Glen Sheehan