Patents Assigned to Emgenisys, Inc.
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Patent number: 11645750Abstract: A computer-implemented system and method for predicting female sex human offspring to result from a human embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: GrantFiled: September 1, 2022Date of Patent: May 9, 2023Assignee: EMGENISYS, INC.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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Patent number: 11645751Abstract: A computer-implemented system and method for predicting male sex bovine offspring to result from a bovine embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: GrantFiled: September 1, 2022Date of Patent: May 9, 2023Assignee: EMGENISYS, INC.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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Patent number: 11636595Abstract: A computer-implemented system and method for predicting female sex bovine offspring to result from a bovine embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: GrantFiled: September 6, 2022Date of Patent: April 25, 2023Assignee: Emgenisys, Inc.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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Patent number: 11620750Abstract: System, method and computer readable medium that assess characteristics of an embryo by processing video image data of the embryo. Video is obtained, typically from third parties, of a target embryo. The video has frame speed of two frames per second, or faster and includes image data representing morphokinetic movement of the embryo. The image data is processed using a trained machine learning model that assesses embryo characteristics. The video has a duration of ten minutes or less. The assessment can be a prediction of a likelihood the embryo is viable and/or will produce a pregnancy upon transfer into a recipient. Further, the assessment can predict a likelihood the embryo will: (1) produce offspring having a specific sex; (2) embody a genetic anomaly; (3) perpetuate desired traits in produced offspring and/or (4) produce undesired characteristics in produced offspring.Type: GrantFiled: July 15, 2022Date of Patent: April 4, 2023Assignee: Emgenisys, Inc.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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Publication number: 20230005141Abstract: A computer-implemented system and method for predicting male sex bovine offspring to result from a bovine embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: ApplicationFiled: September 1, 2022Publication date: January 5, 2023Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Publication number: 20230005142Abstract: A computer-implemented system and method for predicting female sex bovine offspring to result from a bovine embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: ApplicationFiled: September 6, 2022Publication date: January 5, 2023Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Publication number: 20220414881Abstract: A computer-implemented system and method for predicting female sex human offspring to result from a human embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: ApplicationFiled: September 1, 2022Publication date: December 29, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Publication number: 20220358656Abstract: A computer-implemented system and method for predicting male sex human offspring to result from a human embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: ApplicationFiled: July 25, 2022Publication date: November 10, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Publication number: 20220358654Abstract: A computer-implemented system and method for predicting an embryo outcome by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: ApplicationFiled: July 25, 2022Publication date: November 10, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Patent number: 11494912Abstract: A computer-implemented system and method for predicting male sex human offspring to result from a human embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: GrantFiled: July 25, 2022Date of Patent: November 8, 2022Assignee: Emgenisys, Inc.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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Patent number: 11494910Abstract: A computer-implemented system and method for predicting an embryo outcome by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: GrantFiled: July 25, 2022Date of Patent: November 8, 2022Assignee: Emgenisys, Inc.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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Patent number: 11494911Abstract: A computer-implemented system and method for predicting offspring sex to result from an embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: GrantFiled: July 25, 2022Date of Patent: November 8, 2022Assignee: Emgenisys, Inc.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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Publication number: 20220351381Abstract: System, method and computer readable medium that assess characteristics of an embryo by processing video image data of the embryo. Video is obtained, typically from third parties, of a target embryo. The video has frame speed of two frames per second, or faster and includes image data representing morphokinetic movement of the embryo. The image data is processed using a trained machine learning model that assesses embryo characteristics. The video has a duration of ten minutes or less. The assessment can be a prediction of a likelihood the embryo is viable and/or will produce a pregnancy upon transfer into a recipient. Further, the assessment can predict a likelihood the embryo will: (1) produce offspring having a specific sex; (2) embody a genetic anomaly; (3) perpetuate desired traits in produced offspring and/or (4) produce undesired characteristics in produced offspring.Type: ApplicationFiled: July 15, 2022Publication date: November 3, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Patent number: 11455725Abstract: A computer-implemented method for predicting an embryo outcome by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: GrantFiled: March 7, 2022Date of Patent: September 27, 2022Assignee: Emgenisys, Inc.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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BOVINE EMBRYO EVALUATION USING AI/ML ANALYSIS OF REAL-TIME VIDEO FOR PREDICTING FEMALE-SEX OFFSPRING
Publication number: 20220189021Abstract: A computer-implemented method for predicting the likelihood an embryo will produce a bovine female offspring by processing video image data derived from video of a target embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data to predict the likelihood the target embryo will produce a bovine female offspring.Type: ApplicationFiled: March 4, 2022Publication date: June 16, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH -
Publication number: 20220189018Abstract: A computer-implemented method for predicting the likelihood an embryo will produce a human male offspring by processing video image data derived from video of a target embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data to predict the likelihood the target embryo will produce a human male offspring.Type: ApplicationFiled: March 4, 2022Publication date: June 16, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Publication number: 20220189019Abstract: A computer-implemented method for predicting the likelihood an embryo will produce a human female offspring by processing video image data derived from video of a target embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data to predict the likelihood the target embryo will produce a human female offspring.Type: ApplicationFiled: March 4, 2022Publication date: June 16, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth Wessels Wells, Russell Killingsworth
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Publication number: 20220189022Abstract: A computer-implemented method for predicting an embryo outcome by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.Type: ApplicationFiled: March 7, 2022Publication date: June 16, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Publication number: 20220189640Abstract: A computer-implemented method for predicting the likelihood an embryo will produce specific sex offspring by processing video image data derived from video of a target embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data to predict the likelihood the target embryo will produce specific sex offspring.Type: ApplicationFiled: March 4, 2022Publication date: June 16, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH
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Publication number: 20220189020Abstract: A computer-implemented method for predicting the likelihood an embryo will produce a bovine male offspring by processing video image data derived from video of a target embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data to predict the likelihood the target embryo will produce a bovine male offspring.Type: ApplicationFiled: March 4, 2022Publication date: June 16, 2022Applicant: Emgenisys, Inc.Inventors: Cara Elizabeth WESSELS WELLS, Russell KILLINGSWORTH