MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611022890 A) filed by Panipat Institute Of Engineering And Technology, Samalkha, Haryana, on Feb. 26, for 'an ai-enabled system and method for early detection, risk stratification, and continuous monitoring of polycystic ovary syndrome in women.'
Inventor(s) include Prof. Poonam Panwar; and Prof. Satish Kumar.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "An artificial intelligence (AI)-enabled system and method for early detection, risk stratification, and continuous monitoring of Polycystic Ovary Syndrome (PCOS) in women is disclosed. The system integrates multimodal health data including physiological, hormonal, metabolic, lifestyle, and menstrual cycle parameters collected from wearable devices, user inputs, laboratory systems, and electronic health records. A data preprocessing framework structures and normalizes the collected data, which is then analyzed by a predictive analytics engine employing machine learning models to identify PCOS-associated patterns and generate a dynamic, individualized risk score. The system further incorporates time-series forecasting and adaptive learning capabilities to predict future symptom progression and continuously improve prediction accuracy. Analytical outputs are presented through a decision-support interface providing risk assessments, trend visualizations, alerts, and personalized recommendations to users and healthcare professionals. The invention enables proactive, personalized, and longitudinal management of PCOS and supports early clinical intervention and remote healthcare delivery."
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