MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088498 A) filed by Bgs College Of Engineering And Technology Bgscet on July 20, 2026, for A Method And System For Cervical Cancer Risk Assessment Using Machine Learning.
Inventors include Ravikumar Guralamata Krishnegowda; Govindaiah Thimma Raju; Madhu Patil; Chandrakala H L; Eediga Himabindhu; Gadaputi Bhuvaneshwari; Phalguni Prahladha Puranik; and Manasa Bolade Santhosh Kumar.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present disclosure relates to a computer-implemented cervical cancer risk-stratification system (100) and method for automated risk assessment using machine learning techniques. The system (100) comprises a data acquisition module (110) configured to receive previously acquired patient demographic, behavioural, clinical, medical history, and laboratory information; a data preprocessing engine (120) configured to process the received information; a feature engineering engine (130) configured to generate predictive feature sets; a machine learning prediction engine (140) configured to generate cervical cancer risk-stratification outputs; a risk assessment engine (150) configured to determine one or more risk categories based on the generated risk-stratification outputs; and a user interface module (160) configured to present risk assessment results to one or more users. A data repository (170) stores datasets, trained machine learning models, and risk assessment outputs, while a computing device (180) executes the disclosed computer-implemented method to facilitate automated cervical cancer risk assessment.
Disclaimer: Curated by HT Syndication.
