Patents by Inventor Boris P. Kovatchev

Boris P. Kovatchev 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).

  • Publication number: 20220262519
    Abstract: A system, method and non-transient computer readable medium for tracking hypoglycemia risk in patients with diabetes exercise. A system may include a digital processor configured to execute instructions to receive an input from each available data source of a plurality of intermittently available data sources; determine a plurality of probability signals for impending hypoglycemia, wherein each probability signal is based on one or more of the inputs from the available data sources or a lack of input from an unavailable data source; wherein a probability signal for each unavailable data source is assigned a value corresponding to a zone of uncertainty; and determine an aggregate risk of hypoglycemia based on the plurality of intermittently data sources by aggregating the plurality of probability signals.
    Type: Application
    Filed: March 1, 2022
    Publication date: August 18, 2022
    Inventors: Marc D. Breton, Boris P. Kovatchev
  • Publication number: 20220230762
    Abstract: An electronic system and method simulates a glucose-insulin metabolic system of a T2DM or prediabetic subject, wherein the system includes a subsystem that models dynamic glucose concentration in a T2DM or prediabetic subject, including an electronic module that models endogenous glucose production (EGP(t)), or meal glucose rate of appearance (Ra(t), or glucose utilization (U(t)), or renal excretion of glucose (B(t)), a subsystem that models dynamic insulin concentration in the T2DM or prediabetic subject, including an electronic module that models insulin secretion (S(t)), an electronic database containing a population of virtual T2DM or prediabetic subjects, each virtual subject having a plurality of metabolic parameters, and a processing module that calculates an effect of variation of at least one metabolic parameter value on the glucose insulin metabolic system of a virtual subject by inputting the plurality of metabolic parameter values.
    Type: Application
    Filed: February 1, 2022
    Publication date: July 21, 2022
    Inventors: Boris P. Kovatchev, Claudio Cobelli, Chiara Dalla Man
  • Publication number: 20220203020
    Abstract: An insulin monitoring system includes one or more processors, one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors. The program instructions include: first program instructions to track, in real time, the amount of insulin active in a patient; second program instructions to calculate the amount of insulin need of the patient by tracking the patient's metabolic states; third program instructions to compare the insulin active in the patient with the insulin need of the patient; and fourth program instructions to determine an insulin fault level based on the comparison.
    Type: Application
    Filed: March 15, 2022
    Publication date: June 30, 2022
    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. BRETON, Stephen D. PATEK, Boris P. KOVATCHEV
  • Patent number: 11355238
    Abstract: A system, computer program product, method and algorithm for evaluation of blood glucose variability—one of the most important parameters of diabetes management. An embodiment of the method may use routine self-monitoring blood glucose (SMBG) data collected over a period of 2-6 weeks, for example, based on a theory of risk analysis of blood glucose data. One aspect may include a method, system and computer program product for computing the Average Daily Risk Range (ADRR)—a measure of overall glucose variability. Another aspect may include a method, system, and computer program product for estimating separately the glucose variability in the hypoglycemic range via a Low BG Index (LBGI) and the glucose variability in the high BG range via High BG Index (HBGI) followed by a combination of the two indices into a single variability display.
    Type: Grant
    Filed: January 5, 2007
    Date of Patent: June 7, 2022
    Assignee: University of Virginia Patent Foundation
    Inventor: Boris P. Kovatchev
  • Patent number: 11311665
    Abstract: An insulin monitoring system includes one or more processors, one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors. The program instructions include: first program instructions to track, in real time, the amount of insulin active in a patient; second program instructions to calculate the amount of insulin need of the patient by tracking the patient's metabolic states; third program instructions to compare the insulin active in the patient with the insulin need of the patient; and fourth program instructions to determine an insulin fault level based on the comparison.
    Type: Grant
    Filed: June 9, 2016
    Date of Patent: April 26, 2022
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. Breton, Stephen D. Patek, Boris P. Kovatchev
  • Patent number: 11289201
    Abstract: A system, method and non-transient computer readable medium for tracking hypoglycemia risk in patients with diabetes exercise. A system may include a digital processor configured to execute instructions to receive an input from each available data source of a plurality of intermittently available data sources; determine a plurality of probability signals for impending hypoglycemia, wherein each probability signal is based on one or more of the inputs from the available data sources or a lack of input from an unavailable data source; wherein a probability signal for each unavailable data source is assigned a value corresponding to a zone of uncertainty; and determine an aggregate risk of hypoglycemia based on the plurality of intermittently data sources by aggregating the plurality of probability signals.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: March 29, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Marc D. Breton, Boris P. Kovatchev
  • Patent number: 11238990
    Abstract: An electronic system is provided that simulates a glucose-insulin metabolic system of a T2DM or prediabetic subject, wherein the system includes a subsystem that models dynamic glucose concentration in a T2DM or prediabetic subject, including an electronic module that models endogenous glucose production (EGP(t)), or meal glucose rate of appearance (Ra(t>>, or glucose utilization (U(t)), or renal excretion of glucose (B(t)), a subsystem that models dynamic insulin concentration in said T2DM or prediabetic subject, including an electronic module that models insulin secretion (S(t)), an electronic database containing a population of virtual T2DM or prediabetic subjects, each virtual subject having a plurality of metabolic parameters, and a processing module that calculates an effect of variation of at least one metabolic parameter value on the glucose insulin metabolic system of a virtual subject by inputting the plurality of metabolic parameter values.
    Type: Grant
    Filed: June 25, 2010
    Date of Patent: February 1, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Boris P. Kovatchev, Claudio Cobelli, Chiara Dalla Man
  • Publication number: 20210313036
    Abstract: An insulin delivery supervisor (IDS) with a safety analysis and supervision function that can reside between the insulin request and the insulin delivery and can intercept any excessive insulin requests before the insulin was delivered. The IDS can be implemented in any system based on insulin pump or pen and will work with either SMBG or CGM modes of blood glucose monitoring.
    Type: Application
    Filed: June 4, 2021
    Publication date: October 7, 2021
    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. BRETON, Stephen D. PATEK, Boris P. KOVATCHEV, Colleen H. KARVETSKY
  • Publication number: 20210282677
    Abstract: An aspect of an embodiment or partial embodiment of the present invention (or combinations of various embodiments in whole or in part of the present invention) comprises, but not limited thereto, a method and system (and related computer program product) for continually assessing the risk of hypoglycemia for a patient and then determining what action to take based on that risk assessment. A further embodiment results in two outputs: (1) an attenuation factor to be applied to the insulin rate command sent to the pump (either via conventional therapy or via open or closed loop control) and/or (2) a red/yellow/green light hypoglycemia alarm providing to the patient an indication of the risk of hypoglycemia. The two outputs of the CPHS can be used in combination or individually.
    Type: Application
    Filed: May 28, 2021
    Publication date: September 16, 2021
    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Boris P. Kovatchev, Marc D. BRETON, Stephen D. PATEK
  • Patent number: 11069434
    Abstract: An insulin delivery supervisor (IDS) with a safety analysis and supervision function that can reside between the insulin request and the insulin delivery and can intercept any excessive insulin requests before the insulin was delivered. The IDS can be implemented in any system based on insulin pump or pen and will work with either SMBG or CGM modes of blood glucose monitoring.
    Type: Grant
    Filed: March 11, 2011
    Date of Patent: July 20, 2021
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Marc D. Breton, Stephen D. Patek, Boris P. Kovatchev, Colleen S. Hughes
  • Publication number: 20210218481
    Abstract: Method, system and computer program product for providing real time detection of analyte sensor sensitivity decline is continuous glucose monitoring systems are provided.
    Type: Application
    Filed: January 22, 2021
    Publication date: July 15, 2021
    Inventors: Marc D. Breton, Boris P. Kovatchev, Erwin S. Budiman, Kenneth J. Doniger
  • Publication number: 20210169409
    Abstract: A flexible system capable of utilizing data from different monitoring techniques and capable of providing assistance to patients with diabetes at several scalable levels, ranging from advice about long-term trends and prognosis to real-time automated closed-loop control (artificial pancreas). These scalable monitoring and treatment strategies are delivered by a unified system called the Diabetes Assistant (DiAs) platform. The system provides a foundation for implementation of various monitoring, advisory, and automated diabetes treatment algorithms or methods. The DiAs recommendations are tailored to the specifics of an individual patient, and to the patient risk assessment at any given moment. A central data exchange node or server collects patient data from individual DiAs devices and provides safety assurance, monitoring, telemedicine and database building for the DiAs system.
    Type: Application
    Filed: February 22, 2021
    Publication date: June 10, 2021
    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventor: Boris P. KOVATCHEV
  • Patent number: 11024429
    Abstract: An Adaptive Advisory Control (AA Control) interactive process involving algorithm-based assessment and communication of physiologic and behavioral parameters and patterns assists patients with diabetes with the optimization of their glycemic control. The method and system may uses all available sources of information about the patient; (i) EO Data (e.g. self-monitoring of blood glucose (SMBG) and CMG), (ii) Insulin Data (e.g. insulin pump log files or patient treatment records), and (iii) Patient Self Reporting Data (e.g. self treatment behaviors, meals, and exercise) to: retroactively assess the risk of hypoglycemia, retroactively assess risk-based reduction of insulin delivery, and then report to the patient how a risk-based insulin reduction system would have acted consistently to prevent hypoglycemia.
    Type: Grant
    Filed: August 26, 2012
    Date of Patent: June 1, 2021
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Stephen D. Patek, Boris P. Kovatchev
  • Patent number: 10925536
    Abstract: A flexible system capable of utilizing data from different monitoring techniques and capable of providing assistance to patients with diabetes at several scalable levels, ranging from advice about long-term trends and prognosis to real-time automated closed-loop control (artificial pancreas). These scalable monitoring and treatment strategies are delivered by a unified system called the Diabetes Assistant (DiAs) platform. The system provides a foundation for implementation of various monitoring, advisory, and automated diabetes treatment algorithms or methods. The DiAs recommendations are tailored to the specifics of an individual patient, and to the patient risk assessment at any given moment. A central data exchange node or server collects patient data from individual DiAs devices and provides safety assurance, monitoring, telemedicine and database building for the DiAs system.
    Type: Grant
    Filed: January 5, 2015
    Date of Patent: February 23, 2021
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventor: Boris P. Kovatchev
  • Publication number: 20210038132
    Abstract: An aspect of an embodiment or partial embodiment of the present invention (or combinations of various embodiments in whole or in part of the present invention) comprises, but not limited thereto, a method and system (and related computer program product) for continually assessing the risk of hypoglycemia for a patient and then determining what action to take based on that risk assessment. A further embodiment results in two outputs: (1) an attenuation factor to be applied to the insulin rate command sent to the pump (either via conventional therapy or via open or closed loop control) and/or (2) a red/yellow/green light hypoglycemia alarm providing to the patient an indication of the risk of hypoglycemia. The two outputs of the CPHS can be used in combination or individually.
    Type: Application
    Filed: October 14, 2020
    Publication date: February 11, 2021
    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Boris P. Kovatchev, Marc D. BRETON, Stephen D. PATEK
  • Patent number: 10903914
    Abstract: Method, system and computer program product for providing real time detection of analyte sensor sensitivity decline is continuous glucose monitoring systems are provided.
    Type: Grant
    Filed: January 9, 2018
    Date of Patent: January 26, 2021
    Assignee: ABBOTT DIABETES CARE INC.
    Inventors: Marc D. Breton, Boris P. Kovatchev, Erwin S. Budiman, Kenneth J. Doniger
  • Patent number: 10842419
    Abstract: An aspect of an embodiment or partial embodiment of the present invention (or combinations of various embodiments in whole or in part of the present invention) comprises, but not limited thereto, a method end system (and related computer program product) for continually assessing the risk of hypoglycemia for a patient and then determining what action to take based on that risk assessment. A further embodiment results in two outputs: (1) an attenuation factor to be applied to the insulin rate command sent to the pump (either via conventional therapy or via open or closed loop control) and/or (2) a red/yellow/green light hypoglycemia alarm providing to the patient an indication of the risk of hypoglycemia. The two outputs of the CPHS can be used in combination or individually.
    Type: Grant
    Filed: August 4, 2017
    Date of Patent: November 24, 2020
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Boris P. Kovatchev, Marc D. Breton, Stephen D. Patek
  • Publication number: 20200214629
    Abstract: A flexible system for utilizing data from different monitoring techniques and capable of providing assistance to patients with diabetes at several scalable levels, ranging from advice about long-term trends and prognosis to real-time automated closed-loop control (artificial pancreas). These scalable monitoring and treatment strategies are delivered by a unified system called the Diabetes Assistant (DiAs) platform. The system provides a foundation for implementation of various monitoring, advisory, and automated diabetes treatment algorithms or methods. The DiAs recommendations are tailored to the specifics of an individual patient, and to the patient risk assessment at any given moment.
    Type: Application
    Filed: February 13, 2020
    Publication date: July 9, 2020
    Applicant: University of Virginia Patent Foundation
    Inventors: Boris P. Kovatchev, Patrick T. Keith-Hynes, Marc D. Breton, Stephen D. Patek
  • Patent number: 10610154
    Abstract: A flexible system capable of utilizing data from different monitoring techniques and capable of providing assistance to patients with diabetes at several scalable levels, ranging from advice about long-term trends and prognosis to real-time automated closed-loop control (artificial pancreas). These scalable monitoring and treatment strategies are delivered by a unified system called the Diabetes Assistant (DiAs) platform. The system provides a foundation for implementation of various monitoring, advisory, and automated diabetes treatment algorithms or methods. The DiAs recommendations are tailored to the specifics of an individual patient, and to the patient risk assessment at any given moment.
    Type: Grant
    Filed: June 23, 2012
    Date of Patent: April 7, 2020
    Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
    Inventors: Boris P. Kovatchev, Patrick T. Keith-Hynes, Marc D. Breton, Stephen D. Patek
  • Publication number: 20200066410
    Abstract: A method, system and related computer program product for tracking the probability of hypoglycemia from routine self-monitoring of blood glucose (SMBG) data in patients with diabetes. A specific bivariate probability distribution of low BG events based jointly on the Low BG Index (LBGI) and the Average Daily Risk Range (ADRR) is used to predict hypoglycemia probability of occurrence from inputted SMBG data. The SMBG data is retrieved from a series of SMBG data of a patient available from the patient's glucose meter and allows tracking of the probability for future hypoglycemia over a predetermined duration, e.g. a 24 or 48 hour period. The tracking includes presentation of visual and/or numerical output, as well as construction of hypoglycemia risk trajectories that would enable warning messages for crossing of predefined thresholds, such as 50% likelihood for upcoming hypoglycemia below 50 mg/dl.
    Type: Application
    Filed: September 30, 2019
    Publication date: February 27, 2020
    Inventors: Boris P. Kovatchev, Marc D. Breton