MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024091 A) filed by Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, on Feb. 28, for 'a method and system for ai/ml-driven non-invasive metabolic monitoring using electrochemical saliva signal analysis.'
Inventor(s) include Mr. Vishant Pal.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a non-invasive, AI/ML-driven analytical framework for metabolic health assessment using electrochemical saliva biosensing. The system acquires electrochemical signals generated from saliva samples through enzyme-functionalized biosensing elements and processes the signals using adaptive signal pre-processing and feature extraction techniques. An artificial intelligence and machine learning framework performs saliva-adaptive calibration to compensate for biological variability, establishes physiological saliva-to-blood correlation, and executes multi-analyte pattern recognition across salivary biomarkers such as glucose and lactate. Based on longitudinal and contextual analysis, the framework generates predictive metabolic risk assessments and clinically interpretable, personalized health insights without requiring invasive blood sampling. The invention enables repeatable, point-of-care metabolic monitoring, supports early detection of metabolic imbalance, and improves accessibility and compliance for chronic and preventive healthcare."
Disclaimer: Curated by HT Syndication.
