MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202621081494 A) filed by Symbiosis International Deemed University on July 01, 2026, for Artificial Intelligence System For Predicting Pre-Diabetes And Diabetes Using Continuous Glucose Sensor Data.
Inventor includes Dr. Gaurav Vishnu Londhe.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: ABSTRACT ARTIFICIAL INTELLIGENCE SYSTEM FOR PREDICTING PRE-DIABETES AND DIABETES USING CONTINUOUS GLUCOSE SENSOR DATA The present invention discloses a system (100) and method for predicting pre-diabetes and diabetes using artificial intelligence on continuous glucose sensor data. The system (100) comprises glucose sensor data acquisition module (110) having a wearable glucose sensor (111) configured to continuously acquire interstitial glucose measurements and patient demographic data. A data preprocessing module (120) cleans, normalises, and balances the acquired data, while a feature extraction module (130) derives predictive parameters including glucose variability, time-in-range, glycaemic excursions, and temporal trend patterns. An artificial intelligence prediction module (140) comprising machine learning algorithms (141) and deep learning networks (142) classifies individuals as normoglycaemic, pre-diabetic, or diabetic. A model evaluation module (150) validates prediction accuracy, and a prediction and risk assessment module (160) computes a personalised risk score. A user interface and alert module (170) visualises prediction outcomes and generates intervention recommendations (171), enabling early, accurate, and cost-effective dysglycaemia detection supporting preventive healthcare applications. [
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