Intellectual Property India Publishes Patent Application for A System And Method For Quantum-Enhanced Deep Learning-Based Breast Cancer Prediction Using Multimodal Clinical And Imaging Data

MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641124016 A) filed by Dr. M Veeresha, G Pulla Reddy Engineering College; Dr. Anu Malhan, New Horizon Institute Of Technology And Management; Yogita R. Chavan, New Horizon Institute Of Technology And Management; Dr. Anshu, K. R. Mangalam University Gurugram; and Dr. G. Naga Rama Devi, Kaveri University on October 16, 2026, for A System And Method For Quantum-Enhanced Deep Learning-Based Breast Cancer Prediction Using Multimodal Clinical And Imaging Data.

Inventors include Dr. M Veeresha, G Pulla Reddy Engineering College; Dr. Anu Malhan, New Horizon Institute Of Technology And Management; Yogita R. Chavan, New Horizon Institute Of Technology And Management; Dr. Anshu, K. R. Mangalam University Gurugram; and Dr. G. Naga Rama Devi, Kaveri University.

The application for the patent was published on October 30, 2026, under issue no. 44/2026.

Abstract: The present invention relates to a system and method for quantum-enhanced deep learning-based breast cancer prediction using multimodal clinical and imaging data. The system comprises a data acquisition module, a preprocessing module, an imaging feature extraction module, a clinical feature processing module, a multimodal fusion module, a quantum encoding module, a quantum-assisted learning module, and a prediction module. The imaging and clinical feature representations are combined into a unified feature vector and encoded into a parameterised quantum circuit. Measurement-derived quantum features are processed by a classical neural network to generate a breast cancer classification or risk score. An optimisation module trains the hybrid architecture using labelled data, while an optional explanation module provides feature-attribution information. The system supports execution using a quantum simulator or compatible quantum processing hardware and is intended to facilitate computational breast cancer risk assessment and clinical decision support.

Disclaimer: Curated by HT Syndication.