MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050001 A) filed by S R University, Warangal, Telangana, on April 20, for 'big data-driven multimodal mri-based machine learning technique for prostate cancer detection.'
Inventor(s) include Dr. Awakash Mishra; Dr. Sandip Bhattacharya; and Dr. Bharat Bhushan.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This invention presents a Big Data-Driven Multimodal MRI-Based Machine Learning Technique for Prostate Cancer Detection aimed at improving early diagnosis and clinical decision-making. The system integrates heterogeneous MRI datasets and applies advanced preprocessing, feature extraction, and dimensionality reduction techniques to generate optimized feature representations. Multiple machine learning classifiers, including SVM, KNN, Random Forest, and Gradient Boosting, are employed to evaluate predictive performance and enhance detection accuracy. The model incorporates ensemble and fusion strategies to reduce computational complexity while improving reliability. Real-time data processing capabilities enable continuous monitoring and rapid diagnosis. The proposed system effectively differentiates prostate cancer from other tumor conditions, providing a scalable, efficient, and accurate solution for healthcare applications."
Disclaimer: Curated by HT Syndication.
