MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631059262 A) filed by Narula Institute Of Technology, Kolkata, West Bengal, on May 9, for 'huntington's disease: machine learning-based system and method for multimodal diagnosis, stage differentiation and progression prediction.'
Inventor(s) include Abhradip Mandal; Aman Kumar; Atanu Ghosh; Srijan Samanta; Dishani Roy; and Tanmoy Ghosh.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A computer-implemented method, system and non-transitory computer-readable medium for analysis of Huntington's Disease using machine learning applied to multimodal biomedical data are disclosed. The method receives genetic, clinical, gait and imaging data, preprocesses the data by noise removal, feature extraction and normalization, and applies one or more machine learning models (including Random Forest, Support Vector Machines, k-Nearest Neighbours, Artificial Neural Networks, Convolutional Neural Networks and XGBoost) to produce outputs comprising disease classification, disease stage differentiation and progression prediction. The invention enables comparative evaluation of multiple models using performance metrics and supports system and product embodiments to improve diagnosis, monitoring and research into Huntington's Disease."
Disclaimer: Curated by HT Syndication.
