MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541125047 A) filed by Dr. M. Ulagammai; and Dr. Theresa Cenate C F, Chennai, Tamil Nadu, on Dec. 11, 2025, for 'ai-based cognitive function monitoring system for enhancing performance and early detection of neurological disorders.'
Inventor(s) include Dr. M. Ulagammai; and Dr. Theresa Cenate C F.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Early diagnosis of life-threatening diseases such as cancer and neurological disorders is vital for improving survival rates, reducing treatment costs, and enabling timely intervention. However, traditional diagnostic methods often suffer from limitations, including dependence on expert interpretation, lengthy processing times, and inconsistent accuracy during early disease stages. With the availability of large medical datasets and the rapid advancement of Artificial Intelligence, particularly deep learning, new opportunities have emerged to enhance early detection capabilities. This study evaluates five deep learning architectures-CNNs, RNNs, LSTMs, Transformers, and a hybrid CNN-RNN model-using public datasets of histopathology images, EEG signals, and MRI scans. Preprocessing steps such as normalization, augmentation, and noise reduction were applied to optimize learning. Experimental findings reveal that Transformer and Hybrid models achieved the highest accuracy, exceeding 92%, showcasing the effectiveness of models that capture both spatial and temporal patterns. The research highlights deep learning's potential to deliver scalable, accurate diagnostic tools and sets the stage for future integration of explainable AI, multimodal fusion, and real-time clinical deployment."
Disclaimer: Curated by HT Syndication.
