Alerta

SECURE BROADCAST MESSAGING IN SUPPORT OF GLUCOSE MONITORING

Resumen de: EP4800695A2

0001 Techniques for performing application-layer security and communication over primary invitation channels are disclosed. In certain embodiments, analyte data is obtained from an analyte sensor electrically coupled to a sensor electronics module of an analyte sensor system. A secret key is established with a display device over one or more primary invitation channels. The analyte data is encrypted using the secret key. The encrypted analyte data is broadcast over the one or more primary invitation channels.

POSTPRANDIAL INSULIN INFUSION SYSTEM AND METHOD BASED ON RECOGNIZABLE FEATURES OF DIABETIC PATIENT

Resumen de: EP4799662A1

The invention discloses a method and system for postprandial insulin infusion based on identifiable feature of diabetic, acquiring a food image by an imaging mechanism, and analyzing the food image by the food image recognition model to obtain food data, retrieving a narrow insulin algorithm adapted to the patient's own identifiable features from the cluster of narrow insulin algorithms according to the identifiable features of the patient, for calculation of insulin infusion amount during meals, compared to the preset insulin algorithm, the narrow insulin algorithm is more applicable to the physiological characteristics and living habit of the patient, the calculated postprandial insulin infusion amount is more accurate, and is beneficial for the treatment of diabetic.

COMPUTER IMPLEMENTED METHOD OF DETERMINING AN INSULIN DOSE VALUE FOR A PATIENT NEXT TO ADMINISTER AND TRAINING METHOD THEREFOR

Resumen de: EP4800696A1

The present invention relates to a computer implemented training method for training a first artificial intelligence agent for glycemic control of a patient and also relates to a computer implemented method of determining an insulin dose value for a patient next to administer and for administration by an insulin administration device based on a treatment algorithm comprising a first artificial intelligence agent.

USER INTERFACES FOR CONTINUOUS GLUCOSE MONITORING

Resumen de: EP4800534A2

The subject matter disclosed herein provides methods for presenting glucose level data. Glucose data for a patient may be received. A current glucose level and a rate of change of the current glucose level may be determined based on the received glucose data. A first interface may be displayed on a screen of a device. The first interface may include a unitary icon. The unitary icon may display the current glucose level and a visualization of the rate of change. Related apparatus, systems, techniques, and articles are also described.

Wearable medical monitoring device with microneedle array and artificial intelligence (AI)-based health anomaly detection

Resumen de: US12721549B1

0000 A wearable medical monitoring device comprises a microneedle array configured to extract interstitial or capillary fluid from a user, biosensors configured to detect biomarkers including glucose and complete blood count parameters such as white blood cells, red blood cells, hemoglobin, hematocrit, and platelet count, a microprocessor configured to generate biomarker data from biosensor signals, and a wireless communication module configured to transmit biomarker data to a user device for forwarding to a server. The server analyzes biomarker data using machine learning models including time-series forecasting, anomaly detection, classification, and ensemble models to detect health condition anomalies and generate alerts. The machine learning models are updated via federated learning using anonymized data. The server establishes personalized baseline values and dynamically adjusts alert thresholds based on user-specific factors and environmental context.

Intelligent ring with advanced signal processing and artificial intelligence analysis for early detection of acute coronary syndrome

Nº publicación: MA70860A1 31/08/2026

Solicitante:

UNIV EURO MEDITERRANEENNE DE FES UEMF [MA]
Universit\u00E9 Euro M\u00E9diterran\u00E9enne de F\u00E8s UEMF

Resumen de: MA70860A1

The invention concerns a smart ring designed to monitor the user's vital parameters and predict the risk of developing acute coronary syndrome (ACS). This watch incorporates advanced signal processing techniques and sophisticated algorithms to analyze heart rate variability as well as total cholesterol, blood glucose and blood pressure levels associated with acute coronary events. The vital data is sent to a server via an NB-IoT communication module, and visualized using a web interface. An integrated artificial intelligence model continuously analyzes the processed data to identify patterns indicative of ACS. If a high risk of ACS is detected, the ring emits visual and audible alerts, prompting the user to seek immediate medical attention. In addition, a user interface offers the possibility of viewing data and forecasts in real time, enabling continuous, proactive monitoring. This invention enables early detection of ACS thanks to improved analysis of vital parameters and the use of artificial intelligence for continuous real-time monitoring, thus improving the safety of preventive medical measures and the well-being of the user.