MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061235 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Ai Based Disease Prediction System Using Genetic Biomarker Analysis.
Inventors include Dr. S. K. Reshmi; Alvin Raj S; Arun Kumar V; Chandru K; Dheena C; Dhivya R; Ganga C; and Heber Jobson A.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An Al-based disease prediction system using genetic biomarker analysis enables early detection and personalized healthcare interventions. The system collects genomic and biomarker data from patients through non-invasive or clinical sampling methods. Machine learning algorithms analyze genetic variations, expression patterns, and molecular markers to identify correlations with potential diseases. Predictive models estimate an individual’s risk for conditions such as cancer, cardiovascular disorders, or metabolic diseases. The system provides early warnings, enabling timely medical consultation and preventive care. Data is securely stored in cloud or local servers for longitudinal tracking and research purposes. Continuous learning improves prediction accuracy as new genetic and clinical data are incorporated. Visualization tools present risk profiles and insights for clinicians and patients. Alerts notify healthcare providers of high-risk cases for immediate intervention. Integration with electronic health records supports personalized treatment planning. Data encryption and access control ensure privacy and regulatory compliance. The system reduces diagnostic delays and supports proactive health management. This intelligent solution provides a reliable, scalable, and data-driven approach to disease prediction using genetic biomarkers.
Disclaimer: Curated by HT Syndication.
