Patents by Inventor Kyle Savidge
Kyle Savidge 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: 11930752Abstract: Provided are methods for increasing the yield of a monocot plant through treatment of the plant with a plant growth regulator. In certain embodiments, maize plants produce multiple ears and an increased number of kernels. In certain embodiments, reduced height of the plant allows for more efficient self-pollination.Type: GrantFiled: August 17, 2020Date of Patent: March 19, 2024Assignee: MONSANTO TECHNOLOGY LLCInventors: Daniel Ovadya, Beth Savidge, Kyle Smith, Dale Val
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Patent number: 11917959Abstract: Provided are methods for increasing the yield of a monocot plant through treatment of the plant with a plant growth regulator. In certain embodiments, maize plants produce multiple ears and an increased number of kernels. In certain embodiments, reduced height of the plant allows for more efficient self-pollination.Type: GrantFiled: August 17, 2020Date of Patent: March 5, 2024Assignee: MONSANTO TECHNOLOGY LLCInventors: Daniel Ovadya, Beth Savidge, Kyle Smith, Dale Val
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Publication number: 20230326032Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.Type: ApplicationFiled: June 1, 2023Publication date: October 12, 2023Applicant: LightLab Imaging, Inc.Inventors: Shimin Li, Ajay Gopinath, Kyle Savidge
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Publication number: 20230274440Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.Type: ApplicationFiled: May 4, 2023Publication date: August 31, 2023Applicant: LightLab Imaging, Inc.Inventors: Shimin Li, Ajay Gopinath, Kyle Savidge
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Patent number: 11741613Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.Type: GrantFiled: December 23, 2021Date of Patent: August 29, 2023Assignee: LightLab Imaging, Inc.Inventors: Shimin Li, Ajay Gopinath, Kyle Savidge
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Publication number: 20230005139Abstract: Aspects of the disclosure provide for methods, systems, and apparatuses, including computer-readable storage media, for lipid detection by identifying fibrotic caps in medical images of blood vessels. A method includes receiving one or more input images of a blood vessel and processing the one or more input images using a machine learning model trained to identify locations of fibrotic caps in blood vessels. The machine learning model is trained using a plurality of training images each annotated with locations of one or more fibrotic caps. A method includes identifying and characterizing fibrotic caps of lipid pools based on differences in radial signal intensities measured at different locations of an input image. A system can generate one or more output images having segments that are visually annotated representing predicted locations of fibrotic caps covering lipidic plaques.Type: ApplicationFiled: June 30, 2022Publication date: January 5, 2023Applicant: LightLab Imaging, Inc.Inventors: Justin Akira Blaber, Ajay Gopinath, Gregory Patrick Amis, Kyle Savidge
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Patent number: 11344373Abstract: In part, the disclosure relates to systems and methods to assess stent/scaffold expansion in a vessel on an expedited time scale after stent/scaffold placement and expansion. In one embodiment, the method generates a first representation of a stented segment of the blood vessel indicative of a level of stent expansion; determines using the detected stent struts, a first end of the stent and a second end of the stent; and generate a second representation of the segment of the blood vessel by interpolating a lumen profile using an offset distance from the first end and the second end.Type: GrantFiled: May 29, 2019Date of Patent: May 31, 2022Assignee: LightLab Imaging, Inc.Inventors: Ajay Gopinath, Kyle Savidge, Robert Steinbrecher
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Publication number: 20220114388Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.Type: ApplicationFiled: December 23, 2021Publication date: April 14, 2022Applicant: LightLab Imaging, Inc.Inventors: Shimin Li, Ajay Gopinath, Kyle Savidge
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Patent number: 11250294Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.Type: GrantFiled: January 13, 2020Date of Patent: February 15, 2022Assignee: LightLab Imaging, Inc.Inventors: Shimin Li, Ajay Gopinath, Kyle Savidge
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Publication number: 20200226422Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.Type: ApplicationFiled: January 13, 2020Publication date: July 16, 2020Applicant: LightLab Imaging, Inc.Inventors: Shimin Li, Ajay Gopinath, Kyle Savidge
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Publication number: 20190365480Abstract: In part, the disclosure relates to systems and methods to assess stent/scaffold expansion in a vessel on an expedited time scale after stent/scaffold placement and expansion. In one embodiment, the method generates a first representation of a stented segment of the blood vessel indicative of a level of stent expansion; determines using the detected stent struts, a first end of the stent and a second end of the stent; and generate a second representation of the segment of the blood vessel by interpolating a lumen profile using an offset distance from the first end and the second end.Type: ApplicationFiled: May 29, 2019Publication date: December 5, 2019Applicant: LIGHTLAB IMAGING, INC.Inventors: Ajay Gopinath, Kyle Savidge, Robert Steinbrecher