MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114782 A) filed by Chandigarh University, Mohali, Punjab, on Nov. 19, 2025, for 'a non-invasive diagnostic system for real-time detection and classification of kidney stones.'
Inventor(s) include Ujjwal Mishra; Aashutosh Kumar Choudhary; Sushant Mahajan; and Aaskaran Bishnoi.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a non-invasive system for the detection and classification of kidney stones using microwave spectroscopy and machine learning which provides a radiation-free and real-time diagnostic solution for kidney stone detection and classification. The system comprises a microwave antenna array to emit and receive multi-frequency signals, a signal conditioning unit with amplification, noise filtering, and digitization capabilities, and a dielectric signature extraction module to determine material-specific dielectric properties. An embedded processing unit integrated with a machine learning inference engine analyzes spectral features to identify the stone's presence, size, location, and type. A calibration and tissue compensation module enhances accuracy across varying patient profiles. Results are displayed through a real-time visualization interface and can be transmitted via a wireless connectivity module. Powered by a rechargeable battery and housed in an ergonomic enclosure, the present invention offers a non-invasive, intelligent, and portable alternative to conventional imaging methods."
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