MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641061043 A) filed by Silna K V; Alain Kuriakose; Isa Sunil; Sravya P K; and Sreekarthik Sanooj on May 14, 2026, for A Multimodal Machine Learning System For Early Detection Of Parkinson’s Disease.
Inventors include Silna K V; Alain Kuriakose; Isa Sunil; Sravya P K; and Sreekarthik Sanooj.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT Disclosed herein is a multimodal machine learning system (100) for early detection of Parkinson’s disease using voice and MRI data, the system (100) comprises a user interface module (102) configured to enable secure registration and authentication of users. A data acquisition module (104) configured to receive and validate multimodal patient data. A pre-processing module (106) configured to process the multimodal patient data. A feature extraction module (108) configured to extract discriminative features. A model training and classification module (110) configured to generate intermediate predictions. A fusion module (112) configured to integrate the intermediate predictions. A prediction and result generation module (114) configured to produce an output comprising a classification result and an associated confidence level. A data management module (116) configured to securely store patient data, extracted features, intermediate model outputs, and final diagnostic results. A reporting and visualization module (118) configured to generate graphical outputs.
Disclaimer: Curated by HT Syndication.
