Patents by Inventor Matthew Houliston
Matthew Houliston 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: 11978560Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.Type: GrantFiled: September 23, 2022Date of Patent: May 7, 2024Assignee: Paige.AI, Inc.Inventors: Leo Grady, Christopher Kanan, Jorge Sergio Reis-Filho, Belma Dogdas, Matthew Houliston
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Publication number: 20230360414Abstract: A method of using a machine learning model to output a task-specific prediction may include receiving a digitized cytology image of a cytology sample and applying a machine learning model to isolate cells of the digitized cytology image. The machine learning model may include identifying a plurality of sub-portions of the digitized cytology image, identifying, for each sub-portion of the plurality of sub-portions, either background or cell, and determining cell sub-images of the digitized cytology image. Each cell sub-image may comprise a cell of the digitized cytology image, based on the identifying either background or cell. The method may further comprise determining a plurality of features based on the cell sub-images, each of the cell sub-images being associated with at least one of the plurality of features, determining an aggregated feature based on the plurality of features, and training a machine learning model to predict a target task based on the aggregated feature.Type: ApplicationFiled: July 3, 2023Publication date: November 9, 2023Inventors: Brandon ROTHROCK, Jillian SUE, Matthew HOULISTON, Patricia RACITI, Leo GRADY
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Patent number: 11721115Abstract: A method of using a machine learning model to output a task-specific prediction may include receiving a digitized cytology image of a cytology sample and applying a machine learning model to isolate cells of the digitized cytology image. The machine learning model may include identifying a plurality of sub-portions of the digitized cytology image, identifying, for each sub-portion of the plurality of sub-portions, either background or cell, and determining cell sub-images of the digitized cytology image. Each cell sub-image may comprise a cell of the digitized cytology image, based on the identifying either background or cell. The method may further comprise determining a plurality of features based on the cell sub-images, each of the cell sub-images being associated with at least one of the plurality of features, determining an aggregated feature based on the plurality of features, and training a machine learning model to predict a target task based on the aggregated feature.Type: GrantFiled: November 5, 2021Date of Patent: August 8, 2023Assignee: Paige.AI, Inc.Inventors: Brandon Rothrock, Jillian Sue, Matthew Houliston, Patricia Raciti, Leo Grady
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Patent number: 11663838Abstract: A method of using a machine learning model to output a task-specific prediction may include receiving a digitized cytology image of a cytology sample and applying a machine learning model to isolate cells of the digitized cytology image. The machine learning model may include identifying a plurality of sub-portions of the digitized cytology image, identifying, for each sub-portion of the plurality of sub-portions, either background or cell, and determining cell sub-images of the digitized cytology image. Each cell sub-image may comprise a cell of the digitized cytology image, based on the identifying either background or cell. The method may further comprise determining a plurality of features based on the cell sub-images, each of the cell sub-images being associated with at least one of the plurality of features, determining an aggregated feature based on the plurality of features, and training a machine learning model to predict a target task based on the aggregated feature.Type: GrantFiled: October 27, 2021Date of Patent: May 30, 2023Assignee: Paige.AI, Inc.Inventors: Brandon Rothrock, Jillian Sue, Matthew Houliston, Patricia Raciti, Leo Grady
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Publication number: 20230019631Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.Type: ApplicationFiled: September 23, 2022Publication date: January 19, 2023Inventors: Leo GRADY, Christopher KANAN, Jorge Sergio REIS-FILHO, Belma DOGDAS, Matthew HOULISTON
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Patent number: 11488719Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.Type: GrantFiled: November 5, 2021Date of Patent: November 1, 2022Assignee: Paige.AI, Inc.Inventors: Leo Grady, Christopher Kanan, Jorge Sergio Reis-Filho, Belma Dogdas, Matthew Houliston
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Patent number: 11335462Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.Type: GrantFiled: October 19, 2021Date of Patent: May 17, 2022Assignee: Paige.AI, Inc.Inventors: Leo Grady, Christopher Kanan, Jorge Sergio Reis-Filho, Belma Dogdas, Matthew Houliston
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Publication number: 20220138450Abstract: A method of using a machine learning model to output a task-specific prediction may include receiving a digitized cytology image of a cytology sample and applying a machine learning model to isolate cells of the digitized cytology image. The machine learning model may include identifying a plurality of sub-portions of the digitized cytology image, identifying, for each sub-portion of the plurality of sub-portions, either background or cell, and determining cell sub-images of the digitized cytology image. Each cell sub-image may comprise a cell of the digitized cytology image, based on the identifying either background or cell. The method may further comprise determining a plurality of features based on the cell sub-images, each of the cell sub-images being associated with at least one of the plurality of features, determining an aggregated feature based on the plurality of features, and training a machine learning model to predict a target task based on the aggregated feature.Type: ApplicationFiled: November 5, 2021Publication date: May 5, 2022Inventors: Brandon ROTHROCK, Jillian SUE, Matthew HOULISTON, Patricia RACITI, Leo GRADY
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Publication number: 20220139533Abstract: A method of using a machine learning model to output a task-specific prediction may include receiving a digitized cytology image of a cytology sample and applying a machine learning model to isolate cells of the digitized cytology image. The machine learning model may include identifying a plurality of sub-portions of the digitized cytology image, identifying, for each sub-portion of the plurality of sub-portions, either background or cell, and determining cell sub-images of the digitized cytology image. Each cell sub-image may comprise a cell of the digitized cytology image, based on the identifying either background or cell. The method may further comprise determining a plurality of features based on the cell sub-images, each of the cell sub-images being associated with at least one of the plurality of features, determining an aggregated feature based on the plurality of features, and training a machine learning model to predict a target task based on the aggregated feature.Type: ApplicationFiled: October 27, 2021Publication date: May 5, 2022Inventors: Brandon ROTHROCK, Jillian SUE, Matthew HOULISTON, Patricia RACITI, Leo GRADY
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Publication number: 20220130547Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.Type: ApplicationFiled: November 5, 2021Publication date: April 28, 2022Inventors: Leo GRADY, Christopher KANAN, Jorge Sergio REIS-FILHO, Belma DOGDAS, Matthew HOULISTON
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Patent number: 11276499Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.Type: GrantFiled: October 19, 2021Date of Patent: March 15, 2022Assignee: Paige.AI, Inc.Inventors: Leo Grady, Christopher Kanan, Jorge Sergio Reis-Filho, Belma Dogdas, Matthew Houliston
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Patent number: 10947688Abstract: Provided is a helical pile having an elongated shaft, at least one helical blade on the shaft having a leading edge and a trailing edge, and a displacement paddle extending outward from the shaft longitudinally positioned between the leading and trailing edges of the blade to push away soil to create a grout channel surrounding the shaft. At least one grout propeller may be provided on the shaft, having at least one blade pitched an opposite direction from the helical blade to propel grout downward in the grout channel as the pile rotates.Type: GrantFiled: June 2, 2020Date of Patent: March 16, 2021Assignee: Magnum Piering, Inc.Inventors: Howard A. Perko, Bernard Brian Dwyer, Matthew Houliston
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Publication number: 20200291594Abstract: Provided is a helical pile having an elongated shaft, at least one helical blade on the shaft having a leading edge and a trailing edge, and a displacement paddle extending outward from the shaft longitudinally positioned between the leading and trailing edges of the blade to push away soil to create a grout channel surrounding the shaft. At least one grout propeller may be provided on the shaft, having at least one blade pitched an opposite direction from the helical blade to propel grout downward in the grout channel as the pile rotates.Type: ApplicationFiled: June 2, 2020Publication date: September 17, 2020Inventors: Howard A. Perko, Bernard Brian Dwyer, Matthew Houliston
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Patent number: 10767334Abstract: Provided is a helical pile having an elongated shaft, at least one helical blade on the shaft having a leading edge and a trailing edge, and a displacement paddle extending outward from the shaft longitudinally positioned between the leading and trailing edges of the blade to push away soil to create a grout channel surrounding the shaft. At least one grout propeller may be provided on the shaft, having at least one blade pitched an opposite direction from the helical blade to propel grout downward in the grout channel as the pile rotates.Type: GrantFiled: March 1, 2019Date of Patent: September 8, 2020Assignee: Magnum Piering, Inc.Inventors: Howard A. Perko, Bernard Brian Dwyer, Matthew Houliston
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Publication number: 20190271131Abstract: Provided is a helical pile having an elongated shaft, at least one helical blade on the shaft having a leading edge and a trailing edge, and a displacement paddle extending outward from the shaft longitudinally positioned between the leading and trailing edges of the blade to push away soil to create a grout channel surrounding the shaft.Type: ApplicationFiled: March 1, 2019Publication date: September 5, 2019Inventors: Howard A. Perko, Bernard Brian Dwyer, Matthew Houliston