MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202631019044 A) filed by C. V. Raman Global University, Bhubaneswar, Orissa, on Feb. 19, for 'an ai-enabled non-invasive menstrual blood-based diagnostic system for early detection of reproductive and metabolic health disorders.'
Inventor(s) include Kirtika Singh; Omprakash Sahoo; Aishwi Nanda; Sahil Agarwal; Dipti Sinha; Dr. Amiya Kumar Prusty; and Dr. Raj Vikram.
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: "The present invention discloses an AI-enabled, non-invasive menstrual blood-based diagnostic system for the early detection of reproductive and metabolic health disorders in women. The system comprises an IoT-enabled smart biosensor hardware module configured to be integrated with standard menstrual hygiene products, a multi-parametric biosensor array measuring blood flow volume, color, clot characteristics, pH, temperature, glucose, and reproductive hormone concentrations from collected menstrual blood, and a Bluetooth/Wi-Fi communication module for wireless data transmission. A cloud-hosted artificial intelligence and machine learning analytics engine receives multi-parametric time-series sensor data, establishes personalized physiological baselines from longitudinal cycle data, performs anomaly detection and multi-class disorder classification, and generates probabilistic risk assessments for conditions including PCOS, endometriosis, anemia, hormonal imbalance, reproductive infections, and metabolic disorders. Diagnostic insights and health alerts are delivered to the user through an intuitive mobile application. The system operates on the novel principle of repurposing menstrual blood as a continuous, non-invasive diagnostic medium, integrating multi-sensor fusion with AI-driven personalized analytics to enable real-time, at-home reproductive health monitoring without clinical visits, thereby addressing the critical diagnostic gap in women's healthcare globally. A comprehensive privacy framework ensures secure, user-controlled data management throughout."
Disclaimer: Curated by HT Syndication.
