MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611020919 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Feb. 23, for 'an ai-based multi-modal diagnostic system for early detection of neurological diseases and working method thereof.'
Inventor(s) include Satyam Sangal; Shreshthi Srivastava; Yash Singhal; Vineet Chaudhary; Ashish Kumar; and Dhanshri Parihar.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-based multi-modal diagnostic system for early detection of neurological diseases, particularly Parkinson's disease and Alzheimer's disease, using non-invasive speech and handwriting biomarkers. The system employs a dual-stream deep learning architecture wherein speech spectrograms are analyzed through a convolutional recurrent neural network and handwriting images are processed through a convolutional neural network. Extracted features are fused to generate a comprehensive neuro-diagnostic profile. By synergistically combining motor and speech biomarkers, the invention provides a cost-effective, accessible, and highly accurate screening tool suitable for remote healthcare and early clinical intervention."
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