Intellectual Property India Publishes Patent Application for 'System And Method For Gene Biomarker Discovery And Panel Design From Multiomics Next-Generation Sequencing Data' Filed by Indraprastha Institute Of Information Technology Delhi; and All India Institute Of Medical Sciences, Delhi

MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122751 A) filed by Indraprastha Institute Of Information Technology Delhi; and All India Institute Of Medical Sciences, Delhi, New Delhi, on Dec. 5, 2025, for 'system and method for gene biomarker discovery and panel design from multiomics next-generation sequencing data.'

Inventor(s) include Gupta, Anubha; Ruhela, Vivek; and Gupta, Ritu.

The application for the patent was published on Jan. 23, under issue no. 04/2026.

According to the abstract released by the Intellectual Property India: "This invention discloses an innovative system and method, namely, BioFLEX, a Biomarker FLEXible Discovery Engine. BioFLEX is an AI-driven computational pipeline designed to identify gene biomarkers and to construct disease-specific gene panels using multi-cohort, multiomics next-generation sequencing data. The framework integrates statistical filtering, feature attribution, and network-based prioritization to identify disease-initiating and transformative biomarkers. The core of this innovation is the system and method for genomic data-specific Artificial Intelligence (AI) workflow to analyze NGS multiomics data, including whole exome sequencing (WES) and whole genome sequencing (WGS), from cohorts representing healthy versus diseased states, OR benign versus malignant disease stages OR cohorts representing two diseases that we would like to compare. This workflow identifies key genomic signatures and gene interactions, and constructs targeted biomarker panels. These constructed disease-specific gene panels are valuable tools for enhancing disease management through improved diagnostics, prognostics, and therapeutic strategies. This invention also introduces the notion of Network Influencer Genes that exert regulatory control over critical disease pathways through network-based influence. These genes are discovered through graph-based centrality measures and haploinsufficiency profiling within biologically learned protein-protein interaction networks. Their inclusion may enhance the discovery of non-obvious but mechanistically significant biomarkers, thereby extending the utility of the panel beyond canonical driver genes."

Disclaimer: Curated by HT Syndication.