MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611112463 A) filed by Ims Engineering College, Ghaziabad on September 18, 2026, for A Privacy-Preserving Genomic Data Analysis System For Generating Personalized Medication Suitability Outputs.
Inventors include Dr. Ajay Sharma; Dr. Indu Bhatt; and Dr. Vikash Goel.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: [043] The present invention discloses a privacy-preserving genomic data analysis system for generating personalized medication suitability outputs. The system comprises a genomic data receiving module, quality normalisation module, variant extraction module, population-adjusted variant weighting module, pharmacogenomic correlation engine, explainability module, privacy-control module, report generation module, and audit-record generation module. The system receives genomic data of a subject, validates technical quality, extracts genomic variants, applies population-adjusted variant weighting, correlates the variants with pharmacogenomic medication response indicators, ranks evidence, and generates an explainable medication suitability matrix. The privacy-control module separates personally identifiable information from genomic data and provides only a controlled output to an authorized interface. The audit-record generation module stores pipeline versions, reference versions, evidence rules, processing parameters, and output history. The invention provides improved genomic interpretation accuracy, privacy protection, explainability, and reproducibility while generating non-prescriptive decision-support information for professional review. Accompanied Drawing [FIGS. 1- 2]
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