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.
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.
Resumen de: US20260102473A1
There is provided inter alia an aqueous liquid pharmaceutical formulation comprising (i) an insulin compound, (ii) ionic zinc, (iii) a zinc binding species at a concentration of 1 mM or more selected from species having a log K with respect to zinc ion binding in the range 4.5-12.3 at 25° C., and (iv) a non-ionic surfactant which is an alkyl glycoside; and wherein the formulation is substantially free of EDTA and any other zinc binding species having a log K with respect to zinc ion binding of more than 12.3 at 25° C.
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.
Resumen de: US20260104765A1
Systems, devices and methods for the management of glucose levels in the body of patient featuring user interface input mechanisms configured to provide haptic feedback to the user are provided.
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.
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.
Resumen de: WO2026080769A1
Systems and methods are provided for a dual needle apparatus configured to couple to a reservoir of a syringe assembly with a luer lock fitting. The dual needle apparatus may include at least a first needle and a second needle, the first needle longer than the second needle. The first needle may be configured to deliver insulin from the reservoir to the interior of a medication bladder when inserted into the medication bladder. The second needle may be configured to release air or insulin from the medication bladder to an external environment responsive the pressure caused by insulin delivery through the first needle.
Resumen de: US20260102082A1
User interfaces for glucose insight presentation are leveraged. A glucose monitoring application is configured to process glucose measurements to determine one or more glucose insights, e.g., about a user's glucose. The glucose measurements, for example, may be obtained from a glucose monitoring device that collects glucose measurements of the user at predetermined intervals, e.g., every five minutes. The glucose monitoring application configures a user interface, based on configuration data, to present one or more visual elements representative of the one or more glucose insights. For example, the glucose monitoring application may configure the user interface to include a visual element in the form of a color field which represents whether the user's current glucose measurement (e.g., the most recent glucose measurement obtained from the glucose monitoring device) is below, within, or above a glucose range.
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.
Resumen de: US20260102563A1
A method of administering insulin to a patient to achieve and maintain euglycemia is disclosed. The method includes administering insulin to the patient at a drip rate that is based on a current blood glucose level of the patient and a weight of the patient. Insulin is administered during an initial phase, a transition phase (during which blood glucose level decreases slower than during the initial phase), and a maintenance phase. During the maintenance phase, the method includes adjusting the drip rate periodically based on a current drip rate and a percentage change in blood glucose level during a period of time. In addition, the maintenance phase considers a lookback period in which the drip rate is adjusted based on trends during the lookback period.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
Nº publicación: EP4719193A1 08/04/2026
Solicitante:
LAXMI THERAPEUTIC DEVICES INC [US]
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.