IP Library › Granted Patent US 12,542,204
Granted Patent B2
US 12,542,204 · App. 18/658,635 · Granted Feb 3, 2026

Systems and methods for disease control and management

Inventors: Ryan A Sysko (Wilmington, DE); Suzanne K. Sysko (Wilmington, DE); James M. Minor (Newark, DE); Anand K. Iyer (Potomac, MD); Andrew V. Fletcher (Park City, UT)
Assignee: WELLDOC, INC.
G16H20/60G16H10/60G16H20/17G16H50/50G16H70/20
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Quick Facts
Patent No.
US 12,542,204
App. No.
18/658,635
Granted
Feb 3, 2026
Kind
B2
Abstract

Methods, computer-readable media, and systems for providing disease management. In one implementation, a system develops a treatment recommendation for a patient based on patient data. The system may receive patient data, execute a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data, perform a statistical analysis of the patient data to detect data excursions of the parameter values; use the modified model to determine factors causing the data excursions; and use the model to develop a treatment recommendation to ameliorate negative effects of the disease.

Claims (47)

1 . A system for management of a user having a disease, comprising:

an input device for receiving user data input by a user and transmitting the received user data;

and

a disease management server, comprising:

a receiver for receiving the transmitted user data from the input device;

a processor configured to execute a program for performing operations, the operations including:

generating, using a basic model of a physiological system of the user, a modified model for the user based on the user data;

performing a statistical analysis of the user data to detect data excursions of values of parameters of the user data;

determining, using the modified model, factors causing the data excursions; and

generating, using the modified model, one or more instructions relating to adjusting a medication intake; and

an output device for outputting the one or more instructions relating to adjusting the medication intake; and

a medication delivery device for adjusting, upon receiving the one or more instructions relating to adjusting the medication intake, an amount of the medication to be delivered to the user, and delivering the adjusted amount of medication to the user.

2 . The system of claim 1 , wherein the parameters of the user data:

(a) user carbohydrate intake,

(b) user medication doses,

(c) blood glucose level, and

(d) a corresponding time at which a value of each parameter is obtained.

3 . The system of claim 1 , wherein the processor is further configured to execute the program to perform operations to generate, using the modified model, one or more treatment recommendations, comprising at least one of a recommendation for dosing and timing of medication, and a recommendation for user dietary behavior.

4 . The system of claim 1 , wherein generating, using the modified model, the one or more instructions comprises applying an algorithm to the user data in a current state in conjunction with auxiliary user data comprising one or more of user blood lipid level, blood pressure, age, gender, height and weight, and race.

5 . The system of claim 1 , wherein the processor is further configured to execute the program to perform operations to develop recommendations for collection of the user data to improve the modified model, wherein the recommendations for collection of the user data to improve the modified model comprise recommendations for timing of blood glucose measurement.

6 . The system of claim 3 , wherein the one or more treatment recommendations are developed at a plurality of predetermined intervals.

7 . The system of claim 6 , wherein the intervals are determined based on a most recent user data collection time.

8 . The system of claim 1 , wherein performing the statistical analysis includes employing a statistical design of experiments methodology to identify the factors causing the data excursions.

9 . The system of claim 3 , wherein the treatment recommendations comprise a recommended time and dose of medication, including recommended combinations of available medications.

10 . The system of claim 3 , wherein the treatment recommendations comprise a recommended time and amount of carbohydrate intake.

11 . The system of claim 1 , wherein the input device is a user-interactive interface operated by the user.

12 . The system of claim 11 , further comprising a portable device configured to operate the user-interactive interface, wherein the input device transmits signals to the disease management server over a wireless communication network.

13 . The system of claim 12 , further comprising a physician interface operable to receive information about the user from the output device disease management server.

14 . The system of claim 1 , wherein the user data is calibrated at a plurality of reading points to provide more information on pharmacodynamic interactions of the user.

15 . The system of claim 1 , wherein generating the modified model comprises utilizing equations that simulate interaction of primary factors affecting rate of change of blood glucose of the user, wherein the primary factors are calculated based on the user data.

16 . The system of claim 15 , wherein the primary factors comprise rate of digestion of the user carbohydrate intake, cellular uptake of blood glucose by the user, and impact of glucose inventory in liver, skeletal muscle, and fat tissues of the user.

17 . The system of claim 16 , wherein an equation for the cellular uptake is a function of blood glucose level, level of insulin acting as a catalyst, resistance factors, and digestive-activated hormones, and

wherein the level of insulin is calculated based on the user medication doses, user pancreatic production, and insulin kinetics.

18 . The system of claim 2 , wherein the patient parameters of the user data further comprises activity of the user.

19 . A computer-readable media storing a program for causing a computer to perform a method for management of a user having a disease, the method comprising:

receiving transmitted user data;

generating, using a basic model of a physiological system of the user, a modified model for the user based on the user data;

performing a statistical analysis of the user data to detect data excursions of values of parameters of the user data;

determining, using the modified model, factors causing the data excursions;

generating, using the modified model, one or more instructions relating to adjusting a medication intake;

outputting the one or more instructions relating to adjusting the medication intake to a medication delivery device configured to deliver a medication to the user and to adjust an amount of medication to be delivered to the user based on the one or more instructions relating to adjusting the medication intake; and

adjusting an amount of the medication to be delivered to the user, upon receiving the one or more instructions relating to adjusting the medication intake, and delivering the adjusted amount of medication to the user.

20 . The computer-readable media according to claim 19 , wherein the parameters of the user data:

(a) user carbohydrate intake,

(b) user medication doses,

(c) blood glucose level, and

(d) a corresponding time at which a value of each parameter is obtained.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 6, 2024
From: SYSKO, RYAN A.; SYSKO, SUZANNE K.; MINOR, JAMES M.; IYER, ANAND; FLETCHER, ANDREW
To: WELLDOC COMMUNICATIONS, INC.
Reel/Frame 067641/0056 →
CHANGE OF NAME Recorded Jun 6, 2024
From: WELLDOC COMMUNICATIONS
To: WELLDOC, INC.
Reel/Frame 067641/0060 →
Continuity (8)
Continuation 18321821 · May 23, 2023
Continuation 17224489 · Apr 7, 2021
Continuation 17074194 · Oct 19, 2020
Continuation 16186996 · Nov 12, 2018
Continuation 15670551 · Aug 7, 2017
Continuation 12071486 · Feb 21, 2008
Provisional Application 60902490 · Feb 22, 2007
Related Publication 20240290461A1 · Aug 29, 2024
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