Tecnoloxía para a monitorización e control de Diabetes

DEVICES FOR PREDICTING DIABETIC STATUS USING VOICE

Resumen de: US20260106031A1

Provided is a computer-implemented device for generating a type-Il (T2DM) diabetic status prediction, including: a memory comprising a diabetic status prediction model; and a processor in communication with the memory, the processor configured to: receive a voice sample from the subject; extract at least one voice biomarker feature value from the voice sample for at least one predetermined voice biomarker feature; determine the type-II (T2DM) diabetic status prediction for the subject based on the at least one voice biomarker feature value and the diabetic status prediction model; and output, to an output device, the type-II (T2DM) diabetic status prediction for the subject or an output based on the diabetic status prediction.

PHARMACEUTICAL FORMULATIONS

Resumen de: US20260102471A1

Disclosed herein are an aqueous pharmaceutical formulation comprising cagrilintide and an aqueous formulation comprising semaglutide. The compositions of these two pharmaceutical formulations allow for their presentation in, and administration using, the dual-chamber medical device disclosed herein. Individuals with diseases, such as diabetes and/or obesity and/or related co-morbidities, may benefit from the co-administration of semaglutide and cagrilintide, and/or of the two liquid pharmaceutical formulations disclosed herein, using the medical device disclosed herein.

METHOD FOR PREDICTING EMERGENCY ROOM VISIT OF DIABETIC PATIENT AND SYSTEM THEREOF

Resumen de: WO2026079858A1

Provided are a method for predicting an emergency room visit of a diabetic patient and a system thereof. A method for predicting an emergency room visit according to some embodiments may comprise the steps of: obtaining one or more machine-learning models prepared to predict information related to an emergency room visit of a diabetic patient; obtaining state information of a target diabetic patient; and predicting emergency room visit information of the target diabetic patient from the state information through the one or more machine-learning models. According to the method, the likelihood of a diabetic patient visiting an emergency room can be accurately predicted at an early stage.

HEALTH INFORMATION BASED ON WEARABLE SENSORS

Resumen de: WO2026080527A1

Methods, systems and devices adapted to predict a glucose state of a subject. Methods may include sensing one or more biosignals with one or more wearable sensing devices; determining at least one of a heart rate (HR), heart rate variability (HRV) or information indicative thereof based on one or more sensed biosignals; predicting a glucose state of the subject based on the at least one of the heart rate, heart rate variability, or information indicative thereof; and causing the predicted glucose state to be displayed on a display of a personal device. Methods, systems and devices adapted to predict at least one of heart rate (HR), heart rate variability (HRV), or information indicative thereof, of a subject based on sensed electrical biosignals.

PREDICTION FUNNEL FOR GENERATION OF HYPO- AND HYPER-GLYCEMIC ALERTS BASED ON CONTINUOUS GLUCOSE MONITORING DATA

Resumen de: US20260102124A1

Certain aspects of the present disclosure relate to methods and systems for providing decision support around glucose management for patients with diabetes. Time-varying inputs including blood glucose, meal intake information, and amount of infused insulin are processed using a machine learning model to obtain predicted glucose levels for a plurality of prediction horizons and uncertainties for the predictions. A confidence interval is generated for each prediction and the confidence intervals are compared to hypo- and hyperglycemic thresholds. If a confidence interval is entirely below or entirely above the hypo- and hyperglycemic thresholds, respectively, then a decision support output is provided.

METHOD AND APPARATUS FOR ANALYZING GLUCOSE LEVEL OF A PERSON

Resumen de: WO2026079566A1

The present disclosure describes an apparatus for analyzing glucose level of a person. The apparatus configured to determine glucose levels of the person based on the measured electrical parameters and the continuously measured physiological parameters, identify a plurality of fluctuation patterns associated with the determined glucose levels of the person over the predefined time period, and analyze the plurality of fluctuation patterns to determine glucose level variability of the person. The fluctuation pattern corresponds to variations in glucose levels between successive measurement of the electrical parameters.

HEALTH TRACKING APPLICATIONS FOR SMART GLASSES

Resumen de: WO2026080545A1

Systems, computer programs, devices, and methods that enable coordination across multiple devices of the mobile ecosystem. In one embodiment, smart glasses detect when a user is about to eat food or take a drink and capture the consumable and portion. The data is recorded in a "morsel track" for health activity analysis. Low-fidelity captures provide preliminary recognition, while higher-fidelity captures are selectively invoked for definitive classification. Machine-learning logic generates predicted metabolic responses, such as real-time glucose trends, based on the recorded events. Predicted responses may dynamically adjust the operation of continuous glucose monitors, heart-rate sensors, or other biomedical devices. In some embodiments, the system triggers a pharmaceutical dispenser, such as an insulin pump, inhaler, or transdermal patch, to provide closed-loop therapeutic intervention in real time.

SYSTEMS AND METHODS FOR DIABETES PREDICTION

INFUSION PUMP SYSTEMS AND METHODS WITH INSULIN PRESERVATIVE LOW THRESHOLD ALERT

Resumen de: US2024408303A1

0000 Disclosed herein are systems and methods for providing an alert to a user when preservative values in insulin formulations are expected to be low. Variables that affect preservative loss in insulin can be tracked by an insulin pump while insulin is being delivered by the pump. If the variables indicate that preservative values are below a threshold, an alert can be provided on the pump instructing the user to replace the insulin and/or implement another corrective action.

CONTINUOUS BLOOD GLUCOSE MEASUREMENT BODY ATTACHMENT UNIT

Resumen de: EP4725416A1

0001 The present disclosure relates to a continuous blood glucose measurement body attachment unit, and provides a continuous blood glucose measurement body attachment unit, which is manufactured in an assembled state in an applicator so as to minimize separate additional operations, such that the body attachment unit can be attached to the body with only a simple operation of the applicator and, particularly, the body attachment unit has a wireless communication chip so as to be capable of communicating with an external terminal, thereby enabling simple and convenient usage without an additional operation in which a separate transmitter must be connected and enabling maintenance to be more easily performed, and after the body attachment unit is attached to the body, an operation starts by the control of a user, such that an operation start time point can be adjusted to an appropriate time point according to the needs of the user, and an operation can start in a stabilized state, such that blood glucose can be more accurately measured.

SMART BRACELET DEVICE CONTAINING GLUCOSE AND/OR GLUCAGON

Resumen de: WO2026063564A1

An automated device for cross-border e-commerce and a method for controlling same are disclosed. The automated device according to one embodiment of the present invention comprises: a database that stores data; and a processor that controls the automated device, wherein the processor may, when a preset word representing a popular search term is identified while scraping a web page, extract keywords searched at a preset frequency or higher and store the keywords in the database, search a shopping platform using the extracted and stored keywords, store a shopping mall URL address searched on the shopping platform in the database, and store product data of the shopping mall in the database using the stored shopping mall URL address.

DETERMINING A CONCENTRATION OF GLUCOSE IN A SUBJECT'S BLOOD

Resumen de: US20260096738A1

0000 According to an aspect, there is provided a computer-implemented method (200) of determining a concentration of glucose in a subject's blood, the method comprising: acquiring (202) first measurement data indicative of a response resulting from an electromagnetic (EM) signal interacting with the subject's blood in a body part of the subject; acquiring (204) second measurement data indicative of at least one parameter associated with the subject; and using (206) a predictive model to infer a concentration of glucose in the subject's blood from the first measurement data and the second measurement data, the predictive model having been trained to infer a concentration of glucose in the subject's blood from the first measurement data and the second measurement data.

ANTICIPATING AND INTERVENING IN NOCTURNAL HYPOGLYCEMIC EPISODES

Resumen de: US20260096784A1

0000 A computer-implemented method and system reduce the likelihood of nocturnal hypoglycemia by predicting overnight glucose level and providing personalized recommendations. Glucose-derived features from continuous glucose monitor (CGM) data, physical-activity features, and demographic features are extracted and input into a neural network configured to output parameters of a probability distribution representing a predicted minimum overnight glucose value and an associated predictive uncertainty. Based on the network output, a probability that the glucose level will fall below a specified hypoglycemic level within an upcoming sleep period is computed and compared to a risk threshold. When the probability meets or exceeds the risk threshold, a mobile computing device displays a personalized bedtime snack recommendation selected to mitigate the predicted hypoglycemia event. The approach integrates physiological data, individualized modeling, and decision support to provide actionable guidance for avoiding nocturnal hypoglycemia.

SYSTEMS AND METHODS FOR ANALYZING, INTERPRETING, AND ACTING ON CONTINUOUS GLUCOSE MONITORING DATA

Resumen de: AU2026202087A1

Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self- management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.20 ar a r

INFUSION PUMP WITH MULTI-CGM COMPATIBILITY

Resumen de: AU2024350322A1

Embodiments disclosed herein relate to systems and methods for adapting ambulatory infusion pump systems to operate with different types of continuous glucose monitoring (CGM) sensors. Infusion pump systems as disclosed herein can include software configured to store characteristics for different types of CGM sensors and can interface with a given type of CGM sensor based on specific characteristics and requirements of the given type of sensor.

Low Power Implantable Glucose Sensors and Methods of Glucose Measurement

Resumen de: US20260096750A1

A device for continuously monitoring glucose levels in a patient includes a lead assembly in electrical communication with an electronics assembly. The electronics assembly is configured to be positioned in the subcutaneous tissue and the lead assembly is configured to be positioned in a vessel of the patient, such as in a vein or in an epidural space. The lead assembly has a lumen, and includes at least one electrode in electrical communication with the electronics assembly.

REAL TIME MANAGEMENT OF DATA RELATING TO PHYSIOLOGICAL CONTROL OF GLUCOSE LEVELS

Resumen de: EP1000000A1

The invention relates to an apparatus (1) for manufacturing green bricks from clay for the brick manufacturing industry, comprising a circulating conveyor (3) carrying mould containers combined to mould container parts (4), a reservoir (5) for clay arranged above the mould containers, means for carrying clay out of the reservoir (5) into the mould containers, means (9) for pressing and trimming clay in the mould containers, means (11) for supplying and placing take-off plates for the green bricks (13) and means for discharging green bricks released from the mould containers, characterized in that the apparatus further comprises means (22) for moving the mould container parts (4) filled with green bricks such that a protruding edge is formed on at least one side of the green bricks.

ZWITTERION SURFACE MODIFICATIONS FOR CONTINUOUS SENSORS

Resumen de: EP4721659A2

0001 Devices are provided for measurement of an analyte concentration, e.g., glucose in a host. The device can include a continuous analyte sensor 34 configured to generate a signal associated with a concentration of an analyte, a reference electrode 30, and a sensing membrane 32 located over the working electrode 38. The sensing membrane comprises a diffusion resistance domain configured to control a flux of the analyte therethrough. The diffusion resistance domain comprises one or more zwitterionic compounds and a base polymer comprising both hydrophilic and hydrophobic regions.

OPEN LOOP INTELLIGENT DOSING

Resumen de: EP4723123A1

Systems, devices, and techniques are disclosed for providing personalized insulin dosage recommendations for a patient. In some aspects, a method includes generating a physiological model for estimating glucose values of the patient based on historical data, the historical data comprising glucose value history and insulin dosage history for a time window during which the patient consumed a plurality of meals. The method also may include estimating, using the physiological model and the historical data, an impact of the plurality of meals on the glucose values of the patient, and receiving a first meal size indication of a first meal for consumption by the patient. The method may also include outputting a first meal bolus insulin dose recommendation based on the impact of the plurality of meals on the glucose values of the patient and the first meal size indication.

APPLICATORS FOR GLUCOSE MONITORS AND METHODS FOR APPLYING GLUCOSE MONITORS

Resumen de: EP1000000A1

The invention relates to an apparatus (1) for manufacturing green bricks from clay for the brick manufacturing industry, comprising a circulating conveyor (3) carrying mould containers combined to mould container parts (4), a reservoir (5) for clay arranged above the mould containers, means for carrying clay out of the reservoir (5) into the mould containers, means (9) for pressing and trimming clay in the mould containers, means (11) for supplying and placing take-off plates for the green bricks (13) and means for discharging green bricks released from the mould containers, characterized in that the apparatus further comprises means (22) for moving the mould container parts (4) filled with green bricks such that a protruding edge is formed on at least one side of the green bricks.

RING-STRUCTURED NON-INVASIVE BLOOD GLUCOSE SENSOR, NON-INVASIVE BLOOD GLUCOSE MEASUREMENT DEVICE, AND NON-INVASIVE BLOOD GLUCOSE MEASUREMENT METHOD

Resumen de: WO2026071284A1

A ring-structured non-invasive blood glucose sensor according to the present invention comprises: a transmission unit which is provided in a first ring structure, and which generates electromagnetic waves and irradiates same toward the center of the first ring structure; an active element which is provided in a second ring structure that is smaller than the first ring structure and is disposed inside the first ring structure, and which amplifies the electromagnetic waves irradiated by the transmission unit so that the amplified electromagnetic waves are directed toward an object to be inspected disposed inside the second ring structure; a reception unit which is provided to be spaced apart from the transmission unit in the first ring structure, and which receives electromagnetic waves reflected or scattered from the object to be inspected; and a conductor, which is disposed to be adjacent to the first ring structure and the second ring structure, propagates the electromagnetic waves amplified by the active element toward the object to be inspected, by virtue of a space defined by a conductor, and strengthens a resonance phenomenon by strengthening an electromagnetic field within the defined space.

DRUG DELIVERY SYSTEM WITH GRAPHICAL USER INTERFACE

Resumen de: US20260091175A1

The invention discloses a drug delivery system with graphical user interface comprises a detection device, for detecting the blood glucose level of the user; an infusion device, for infusing a drug into the user's body; and a control device, wirelessly communicated with the detection device and the infusion device, the control device controlling the drug delivery of the infusion device, and the control device provided with a graphical user interface, the graphical user interface comprising a main screen, the main screen comprising an insulin information display area and a blood glucose information display area, wherein the insulin information display area comprising insulin infusion status information, the graphical user interface displays the insulin infusion status information in a graphical and/or textual manner, to facilitate the user to intuitively know the insulin infusion status information and blood glucose information at that time.

SYSTEM AND METHOD FOR ONLINE DOMAIN ADAPTATION OF MODELS FOR HYPOGLYCEMIA PREDICTION IN TYPE 1 DIABETES

Resumen de: AU2026201926A1

22514182_1 (GHMatters) P118105.AU.1 Embodiments relate to an adaptive glycemia monitoring and forecasting system that includes an event monitor configured to receive blood glucose levels of an individual or information about an activity performed by the individual, and generate an event output. The system includes a control module configured to pull observation data, predictor variables, and population estimated vector of covariate weightings coefficients from a database, and generate updated estimated vector of covariate weightings coefficients for the individual user based on the event output. The updated estimated vector of covariate weightings coefficients are determined by a cross-entropy loss objective function. The updated estimated vector of covariate weightings coefficients are used to predict at least one or more of a predicted hypoglycemia state, a predicted normal glycemia state, or a predicted hyperglycemia state for the individual user. the individual user. ar a r

System and method for artificial pancreas with multi-stage model predictive control

Resumen de: AU2026201994A1

22510489_1 (GHMatters) P117930.AU.1 Provided are a system and method for an artificial pancreas having multi-stage model predictive control to minimize and/or prevent occurrence of hypoglycemia associated with Type 1 diabetes. The control implements predictive modeling of a probability of glucose uptake associated with exercise based on at least one exercise 5 profile for a subject with Type 1 diabetes. Based on the probability, the control implements an automatic adjustment of basal insulin infusion to counteract a risk of exercise-induced hypoglycemia in advance of the subject engaging in the exercise. The control further implements adjustment of such infusion based on real-time signaling of exercise likely to induce hypoglycemia. Prior to consumption of a meal, the control 10 further implements adjustment of a meal-time bolus so as to account for the effect of delay in glucose uptake resulting from exercise previously engaged in by the subject. Consequently, the control acts to minimize and/or prevent hypoglycemia from occurring both during and immediately after the subject engages in exercise. ar a r

System and method for decision support

Nº publicación: AU2026201971A1 02/04/2026

Solicitante:

DEXCOM INC
Dexcom, Inc

Resumen de: AU2026201971A1

Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state. ar a r