Alerta

GLUCOSE LEVEL MANAGEMENT BASED ON FAT CONTENT OF MEALS

Resumen de: US2025303066A1

Techniques for glucose level management are disclosed. In some examples, the techniques may involve obtaining a macronutrient content associated with a meal, wherein the macronutrient content includes a first macronutrient and a second macronutrient. The techniques may further involve predicting, using a patient-specific physiological simulator that utilizes the macronutrient content, glucose amounts to be absorbed into a bloodstream of a patient as a result of consumption of the meal, wherein the patient-specific physiological simulator is configured to account for a difference in glucose level rise due to consumption of the first macronutrient compared to consumption of the second macronutrient. The techniques may further involve determining, using the patient-specific physiological simulator, a dosage of insulin to deliver to the patient based on the glucose amounts to be absorbed into the bloodstream.

TECHNIQUES TO REDUCE RISK OF OCCLUSIONS IN DRUG DELIVERY SYSTEMS

Resumen de: US2025303061A1

Disclosed are techniques to establish a modified pump rate that mitigates the effects of a pump occlusion and enables a recommended dosage of insulin to be output by a pump mechanism over the course of a control cycle. In an example, the pump rate may be reduced by adding a calculated time interval between application of actuation commands to extend the amount of time over which insulin may be output by the pump mechanism.

GLUCOSE CONTROL SYSTEM WITH AUTOMATIC ADAPTATION OF GLUCOSE TARGET

Resumen de: US2025303063A1

A glucose control system employs adaptation of a glucose target (set-point) control variable in controlling delivery of insulin to a subject to maintain euglycemia. The glucose target adapts based on trends in actual glucose level (e.g., measured blood glucose in the subject), and/or computed doses of a counter-regulatory agent such as glucagon. An adaptation region with upper and lower bounds for the glucose target may be imposed. Generally the disclosed techniques can provide for robust and safe glucose level control. Adaptation may be based on computed doses of a counter-regulatory agent whether or not such agent is actually delivered to the subject, and may be used for example to adjust operation in a bihormonal system during periods in which the counter-regulatory agent is not available for delivery.

SYSTEMS, METHODS, APPARATUSES AND DEVICES FOR DRUG OR SUBSTANCE DELIVERY

Resumen de: US2025303055A1

Embodiments of the present disclosure are directed to miniature insulin patch pump, assistance devices (e.g., for reservoir filling and/or cannula insertion), and methods related thereto. For example, in some embodiments, a substance/drug-delivery patch pump is provided and includes a reusable part (RP) including a power source, a driving mechanism, and an electronic module, and a disposable part (DP), where the disposable part can include at least a plurality of an adhesive base, a reservoir, a dosing mechanism, and a cannula.

SYSTEM AND METHOD FOR PREDICTING INSULIN RESISTANCE OR PANCREATIC BETA-CELL FUNCTION AND COMPUTER READABLE MEDIUM THEREOF

Resumen de: US2025308709A1

A system and a method for predicting insulin resistance and/or pancreatic β-cell function are provided, where a machine learning model is utilized to predict insulin resistance and/or pancreatic a decline of β-cell function of a subject in need thereof based on a feature set extracted from a database. Therefore, clinicians or the subject can be warned to take necessary actions on, and adjust related medical treatment or lifestyle before the subject is diagnosed with diabetes mellitus. In addition, a computer readable medium thereof is also provided.

SYSTEMS AND METHODS FOR MEDICATION DOSING AND TITRATION

Resumen de: US2025308666A1

Dose guidance systems and methods for titrating medication doses are described. The dose guidance system may receive glucose data from a continuous glucose monitor and may receive medication data related to medication administered by the user. The dose guidance system may initialize dose guidance parameters, recommend medication doses, titrate medication doses, and provide alerts based on the glucose data and medication data.

METHOD OF PROVIDING NOTIFICATION OF EVENT

Resumen de: US2025302397A1

An embodiment may provide a method of providing an event notification in a glucose monitoring system, the method including determining whether an event occurs; in response to the occurrence of the event, determining whether an event occurrence time falls within a signal loss section; and outputting a notification corresponding to the event depending on whether the event occurrence time falls within the signal loss section.

IN-VIVO BLOOD GLUCOSE MONITORING DEVICE

Resumen de: WO2025200359A1

Disclosed in the present application is an in-vivo blood glucose monitoring device, which comprises a housing, a bottom housing, an in-vivo monitoring unit, and a sealing assembly. The housing is provided with a first end and a second end which are oppositely arranged along a first direction, and an interface opening is formed in the second end. The bottom housing is connected with the second end, and an implantation opening is formed in the bottom housing. The in-vivo monitoring unit comprises a first electronic unit fixed to the interior of the housing and a second electronic unit fixed to the bottom housing. The first electronic unit comprises a sensor, and the second electronic unit comprises a signal processing module. The sealing assembly abuts against the housing and/or the bottom housing and is located between the first electronic unit and the second electronic unit and used for sealing the interface opening. The sealing assembly is movable along a second direction to release sealing, and the second direction is perpendicular to the first direction. During use, sealing can be released by simply moving the sealing assembly along the second direction, eliminating the need to separate the bottom housing from the housing, thereby simplifying the product's usage steps and reducing the operational difficulty.

SYSTEM AND METHOD FOR DECISION SUPPORT USING LIFESTYLE FACTORS

Resumen de: EP4623821A2

Systems and methods are provided relating to open loop decision-making for management of diabetes. People with diabetes face many problems in controlling their glucose because of the complex interactions between food, insulin, exercise, stress, activity, and other physiological and environmental conditions. Established principles of management of glucose sometimes are not adequate because there is a significant amount of variability in how different conditions impact different individuals and what actions might be effective for them. Accordingly, systems and methods according to present principles minimize the impact of the vagaries of diabetes on individuals, i.e., by looking for patterns and tendencies of an individual and customizing the management to that individual. Consequently, the same reduces the uncertainty that diabetes typically is associated with and improves quality of life.

METHOD OF PROVIDING NOTIFICATION OF EVENT

Resumen de: EP4623820A1

An embodiment may provide a method of providing an event notification in a glucose monitoring system, the method including determining whether an event occurs; in response to the occurrence of the event, determining whether an event occurrence time falls within a signal loss section; and outputting a notification corresponding to the event depending on whether the event occurrence time falls within the signal loss section.

BLOOD GLUCOSE MANAGEMENT METHOD AND RELATED ELECTRONIC DEVICE

Resumen de: EP4625428A1

This application discloses a blood glucose management method and a related electronic device. In the method, meal time of a diet event of a user can be determined based on a blood glucose value of the user, and when a blood glucose curve drawn based on blood glucose values of the user is displayed, the meal time and/or a blood glucose value related to the meal time are/is displayed on the blood glucose curve. In this way, the diet event of the user can be associated with blood glucose of the user, and a blood glucose change of the user before and after a meal can be highlighted. This helps the user more intuitively learn of impact of a diet on the blood glucose, and helps the user manage and control the blood glucose starting from the diet.

SYSTEMS, DEVICES, AND METHODS FOR WELLNESS MONITORING WITH PHYSIOLOGICAL SENSORS

Resumen de: MX2025008010A

Systems and methods for displaying metrics related to a user are described. Data indicative of glucose levels of the user is received. A first alert point for a potential glucose episode in a data set of time correlated glucose data, e.g., a glucose vs. time curve, is identified if the last received glucose data point satisfies at least one alert condition. A first potential local minimum in a first time period is identified. The first potential local minimum is confirmed as a first start point of a first glucose episode if the first potential local minimum satisfies at least one local minimum condition. An integrated area under the curve over time of a first portion of the graph beginning at the first start point of the first glucose episode to the first alert point is calculated. A first count value is assigned to the first portion.

Intravascular artificial pancreas

Resumen de: AU2024219128A1

Disclosed herein are intravascular artificial pancreas devices and methods for their manufacture.

BODY ATTACHMENT UNIT FOR CONTINUOUS BLOOD GLUCOSE MEASUREMENT

Resumen de: US2025213155A1

The present disclosure relates to a body attachment unit for continuous blood glucose measurement, in which the body attachment unit is manufactured so as to be assembled in an applicator, thereby minimizing additional work and allowing attachment of the body attachment unit to a body simply by operation of the applicator. In particular, a wireless communication chip is provided in the body attachment unit to enable communication with an external terminal, thereby enabling simple and convenient use without performing additional work of connecting a separate transmitter, and allowing easier maintenance. In addition, activation occurs by a user's operation after the body attachment unit is attached to the body, such that an activation start point in time can be adjusted to an appropriate point in time according to the user's needs, and activation occurs in a stabilized state, thereby providing the body attachment unit allowing more accurate blood glucose measurement.

PREDICTION BASED DELIVERING OR GUIDING OF THERAPY FOR DIABETES

Resumen de: US2025299817A1

Disclosed herein are techniques for prediction based delivering or guiding of therapy for diabetes. In some embodiments, the techniques may involve predicting that a meal event is to occur. The techniques may further involve in response to predicting that the meal event is to occur, determining a partial therapy dosage to be delivered prior to the meal event occurring. The techniques may further involve determining, after a duration of time subsequent to delivery of the partial therapy dosage has elapsed, that meal consumption has not yet begun. The techniques may further involve prompting a patient to begin consumption of the meal.

IMPROVED ACCURACY OF BASAL DELIVERY AMOUNTS

Resumen de: WO2025199207A1

Exemplary embodiments may attempt to account for more substantial deviations in a user's basal insulin needs and reduce or eliminate glucose level excursions that may result from such deviations more quickly than conventional insulin pump systems. The exemplary embodiments may rely upon a user's recent basal insulin delivery history to establish a current estimate of the user's basal insulin needs. Exemplary embodiments may calculate a reliability metric for a TDI value that reflects that degree of variance in TDI value for a user over a recent period, such as over multiple days or weeks. The reliability indicator may be used to adjust the TDI value that is used to establish a user's daily basal insulin needs and hourly basal insulin needs. In determining a user's basal insulin needs, the exemplary embodiments may not only look to recent basal insulin deliveries but also may account for correction boluses and/or meal boluses.

PHOTOACOUSTICS FOR NON-INVASIVE GLUCOSE SENSING

Resumen de: US2025295332A1

Disclosed are systems and techniques for glucose sensing. For example, an example of a process can include transmitting, by at least one transmitter into living tissue, a first signal with a first wavelength, a second signal with a second wavelength, and a third signal with a third wavelength to produce an acoustic response from the living tissue. The first wavelength has a first correlation with the blood glucose concentration, the second wavelength has a second correlation with the blood glucose concentration, and the third wavelength has a third correlation with the blood glucose concentration. The process can include receiving, by at least one receiver, a response signal of the acoustic response. The process can include determining, by at least one processor, the blood glucose concentration based on a photoacoustic spectrum of the response signal.

METHOD FOR RECOGNIZING GLUCOSE ABNORMALITY EVENT, AND ELECTRONIC DEVICE

Resumen de: WO2025194937A1

Provided are a method for recognizing a glucose abnormality event, and an electronic device. The method for recognizing a glucose abnormality event comprises: after a first electronic device acquires glucose information of a user within a first time interval from a second electronic device, if a glucose fluctuation at a second moment relative to a third moment within the first time interval is greater than or equal to a first threshold value, the first electronic device acquiring first data; and on the basis of the first data, determining that the glucose fluctuation indicates the occurrence of a glucose abnormality event. Thus, the accuracy of recognizing a glucose abnormality event can be improved, and the interference of events such as stress and meals can be excluded without the need for asking a user wearing a CGM device about a sleep time period and/or meal time period.

DIGITAL THERAPEUTIC METHOD AND SYSTEM EMPLOYING NUTRITIONAL COGNITIVE BEHAVIORAL THERAPY

Resumen de: US2025299799A1

Nutritional Cognitive Behavioral Therapy (Nutritional-CBT) is provided for the treatment of patients with type 2 diabetes and other cardiometabolic diseases, addressing common maladaptive thinking and beliefs pertaining to diet and lifestyle in a digitally-delivered therapy personalized to the individual patient using artificial intelligence (AI)/machine learning (ML) driven feed-back loops. Systems, methods, and computer-readable media described herein can include providing, by one or more processors, a digital therapeutic application including one or more lessons or activities. The one or more processors can collect at least one response or biometric data from the user. The one or more processors can generate, using a machine-learning model, one or more goals for the user to achieve or a progress overview.

ACCURACY OF BASAL DELIVERY AMOUNTS

Resumen de: US2025295854A1

Exemplary embodiments may attempt to account for more substantial deviations in a user's basal insulin needs and reduce or eliminate glucose level excursions that may result from such deviations more quickly than conventional insulin pump systems. The exemplary embodiments may rely upon a user's recent basal insulin delivery history to establish a current estimate of the user's basal insulin needs. Exemplary embodiments may calculate a reliability metric for a TDI value that reflects that degree of variance in TDI value for a user over a recent period, such as over multiple days or weeks. The reliability indicator may be used to adjust the TDI value that is used to establish a user's daily basal insulin needs and hourly basal insulin needs. In determining a user's basal insulin needs, the exemplary embodiments may not only look to recent basal insulin deliveries but also may account for correction boluses and/or meal boluses.

SYSTEM AND METHODS FOR NON-RESPONSIVE SENSOR DETECTION

Resumen de: AU2024250123A1

The present disclosure relates to methods and systems for predicting glycemic events in a patient induced as a result of physical activity. In certain aspects, a method includes monitoring a plurality of analytes of the patient continuously during a time period to obtain analyte signals, the plurality of analytes including at least glucose and lactate. The method further includes processing the analyte data from the time period to determine signal-to-noise ratios of the analyte signal. The method then compares the signal-to-noise ratios to each other to determine if a sensor in the continuous analyte monitoring system is non-responsive. In alternative embodiments, a reference signal is obtained and a reference signal-to-noise ratio is compared to the analyte signal-to-noise ratio to determine if a sensor in the continuous analyte monitoring system is non-responsive.

SYSTEMS AND METHODS FOR PROCESSING AND TRANSMITTING SENSOR DATA

Resumen de: US2025295333A1

Systems and methods for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor, are disclosed. In an embodiment, a method for transmitting data between a first communication device associated with an analyte sensor and a second communication device configured to provide user access to sensor-related information comprises: activating a transceiver of a first communication device associated with an analyte sensor at a first time; and establishing a two-way communication channel with the second communication device; wherein the activating comprises waking the transceiver from a low power sleep mode using a forced wakeup from the second communication device.

PHOTOACOUSTICS FOR NON-INVASIVE GLUCOSE SENSING

Resumen de: WO2025198810A1

Disclosed are systems and techniques for glucose sensing. For example, an example of a process can include transmitting, by at least one transmitter into living tissue, a first signal with a first wavelength, a second signal with a second wavelength, and a third signal with a third wavelength to produce an acoustic response from the living tissue. The first wavelength has a first correlation with the blood glucose concentration, the second wavelength has a second correlation with the blood glucose concentration, and the third wavelength has a third correlation with the blood glucose concentration. The process can include receiving, by at least one receiver, a response signal of the acoustic response. The process can include determining, by at least one processor, the blood glucose concentration based on a photoacoustic spectrum of the response signal.

DEPLOYMENT AND USE OF A CONTINUOUS ANALYTE MONITORING SYSTEM FOR IMPROVED HOME MONITORING AND READMISSION OPTIMIZATION

Resumen de: US2025299818A1

Disclosed herein are system, method, and computer program product embodiments to an improved alert and recommendation system for reducing patient readmission via the detection and treatment of patient conditions based on continuous analyte data. The disclosed techniques utilize analyte data, such as lactate, glucose, and creatinine, provided from a continuous analyte sensor to predict patient outcomes and generate recommendations for reducing patient readmission in a hospital and home setting. The disclosed system allows for early and non-invasive prediction of patient outcomes and the subsequent generation of recommended actions to facilitate patient intervention with the goal of reducing readmission of the patient.

Individualized Multiple-Day Simulation Model of Type I Diabetic Patient Decision-Making For Developing, Testing and Optimizing Insulin Therapies Driven By Glucose Sensors

Nº publicación: US2025299823A1 25/09/2025

Solicitante:

DEXCOM INC [US]
Dexcom, Inc

Resumen de: US2025299823A1

A mathematical model of type 1 diabetes (T1D) patient decision-making can be used to simulate, in silico, realistic glucose/insulin dynamics, for several days, in a variety of subjects who take therapeutic actions (e.g. insulin dosing) driven by either self-monitoring blood glucose (SMBG) or continuous glucose monitoring (CGM). The decision-making (DM) model can simulate real-life situations and everyday patient behaviors. Accurate submodels of SMBG and CGM measurement errors are incorporated in the comprehensive DM model. The DM model accounts for common errors the patients are used to doing in their diabetes management, such as miscalculations of meal carbohydrate content, early/delayed insulin administrations and missed insulin boluses. The DM model can be used to assess in silico if/when CGM can safely substitute SMBG in T1D management, to develop and test guidelines for CGM driven insulin dosing, to optimize and individualize off-line insulin therapies and to develop and test decision support systems.