MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641003520 A) filed by Gayathri K; Srimathi S; Shalini S; Shreeragavi K; and Thahasin Begam A, Coimbatore, Tamil Nadu, on Jan. 13, for 'early stages of alzheimer detection.'
Inventor(s) include Srimathi S; Shalini S; Shreeragavi K; and Thahasin Begam A.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The proposed system is an intelligent Al-based solution designed to automatically detect early signs of Alzheimer's disease using deep learning and medical image analysis techniques. During training, data augmentation methods such as rotation, scaling, illumination variation, noise addition, and image transformation are applied to improve model robustness and reduce overfitting. To ensure efficient performance, optimized network layers and lightweight feature extraction mechanisms are incorporated to reduce computational complexity while maintaining high diagnostic accuracy. The system analyzes structural patterns in brain M Rl images to identify abnormalities associated with cognitive decline. The model generates reliable classification results along with confidence scores, enabling accurate and early decision-making. Owing to its efficient architecture, the system - is suitable for deployment in clinical decision-support tools, hospital diagnostic systems, medical Q) e research platforms, and early screening applications. This work demonstrates the practical ~ effectiveness of deep learning models for secure, efficient, and automated early detection of Cll Alzheimer's disease."
Disclaimer: Curated by HT Syndication.
