MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008777 A) filed by Gangola Rani; Muntha Raju; Nellutla Ramya; Madhineni Poojitha; Medaboina Kushal; and Ganapa Ramesh, Hyderabad, Telangana, on Jan. 28, for 'non-invasive breath based disease detection and stage prediction using ai.'
Inventor(s) include Gangola Rani; Muntha Raju; Nellutla Ramya; Madhineni Poojitha; Medaboina Kushal; and Ganapa Ramesh.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to a non invasive breath based disease detection and stage prediction system using artificial intelligence. A patient exhales into a standardized breath collection interface connected to a sensing module comprising an array of volatile organic compound sensitive elements. Sensor outputs are digitized and pre processed by a data acquisition module, and a feature extraction engine transforms the pre processed signals into numerical feature vectors. An AI inference engine, trained on breathomic datasets with corresponding clinical labels, computes disease probability scores and stage or severity estimates for one or more conditions. A longitudinal analysis module integrates repeated breath measurements to monitor disease progression and forecast future risk, while an interpretability module generates human readable explanations of key contributing features. A clinical integration interface presents the results to clinicians and exchanges data with electronic health record systems. The invention enables rapid, repeatable, and comfortable screening and monitoring of diseases using exhaled breath, reducing reliance on invasive tests and imaging."
Disclaimer: Curated by HT Syndication.
