MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122989 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 5, 2025, for 'machine learning system for identifying human-specific genomic drivers of cancer.'
Inventor(s) include Dr. R. Sivacoumar; and Ms. Aiswarya.
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: "The present disclosure provides a machine learning system for identifying human-specific genomic drivers of cancer. The system includes a data acquisition module configured to collect genomic datasets including mutation data, gene expression profiles, and copy number variations across multiple cancer types. A data preprocessing module performs data cleaning, normalization, and feature selection on the collected genomic datasets. A machine learning module trains predictive models on the preprocessed genomic datasets to identify driver mutations and classify cancer subtypes. A prediction module distinguishes driver mutations from passenger mutations using the trained predictive models. An output module provides identification of human-specific genomic drivers based on the analysis results. The system processes genomic data through sequential stages including preprocessing, segmentation, feature extraction, feature selection, classification, and evaluation measures to enable comprehensive cancer diagnosis and genomic driver identification."
Disclaimer: Curated by HT Syndication.
