MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541129966 A) filed by Dr. M. Ranjith; K. Gopi; P. Arvil Kumar; G. Sasikala; V. Swathi; V. Pooja; G. Tharani; K. Sakthi Priya; A. Syed Abdulla; and M. Thirumeninathan, Salem, Tamil Nadu, on Dec. 22, 2025, for 'cloud-enabled iot sensors for early detection of osteoporosis in high-risk populations.'
Inventor(s) include Dr. M. Ranjith; K. Gopi; P. Arvil Kumar; G. Sasikala; V. Swathi; V. Pooja; G. Tharani; K. Sakthi Priya; A. Syed Abdulla; and M. Thirumeninathan.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Osteoporosis is a systemic skeletal illness characterised by decreased bone density and structural degeneration, which increases fracture risk, especially in high-risk groups such as postmenopausal women and the elderly. Early identification is critical for avoiding serious 5 problems, but traditional diagnostic procedures, such as dual-energy X-ray absorptiometry (DEXA), are sometimes costly, time-consuming, and unavailable in distant or resourcelimited places. It provides a cloud-based Internet of Things (IoT) system for real-time monitoring and early identification of osteoporosis. The technology uses wearable sensors to measure physiological characteristics, movement patterns, and bone health markers before 10 securely uploading the data to cloud servers for processing and analysis. Advanced algorithms analyse the gathered data to detect early indicators of bone density loss, allowing for earlier intervention and personalised healthcare management. The suggested technique improves accessibility, minimises diagnostic delays, and allows for ongoing monitoring outside of clinical settings. This system, which uses cloud-based analytics and IoT 15 connection, provides a scalable, efficient, and patient-centered approach for improving early osteoporosis identification and reducing the incidence of fractures in vulnerable populations."
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