MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114221 A) filed by Aditya Dayal Tyagi; Gaurav Singh; Anuj Kumar Singh; and Aman Kumar, Greater Noida, Uttar Pradesh, on Nov. 20, 2025, for 'predictive analysis for disease.'
Inventor(s) include Aditya Dayal Tyagi; Gaurav Singh; Anuj Kumar Singh; and Aman Kumar.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent system for predictive analysis and early detection of disease using advanced machine learning algorithms and multi-source data integration. The system comprises a data acquisition module configured to collect clinical data, demographic information, genomic data, and lifestyle parameters from multiple sources including electronic health records, wearable sensors, and laboratory test results. A preprocessing module transforms heterogeneous data into standardized formats suitable for machine learning analysis. The core predictive engine employs ensemble machine learning models including random forest classifiers, support vector machines, neural networks, and gradient boosting algorithms to identify latent patterns correlating with disease onset and progression. The system generates individualized risk scores and predictive alerts for multiple disease conditions, enabling early intervention strategies. A validation module continuously monitors prediction accuracy and automatically adjusts model parameters to improve performance over time, thereby providing healthcare providers with actionable insights for proactive disease management and improved patient outcomes."
Disclaimer: Curated by HT Syndication.
