MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202631072159 A) filed by Snigdha Gupta; and Kaliprasanna Swain on June 10, 2026, for Ai-Assisted Multi-Omics Guided Multiplex Dnazyme Biosensor System For Early Detection Of Reproductive Dysfunction.
Inventors include Snigdha Gupta; Sampat Narayan Satapathy; Swati Shree Padhi; Joytirmay Tripathy; Pralipta Samal; Ujjwal Sinha; and Kaliprasanna Swain.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT AI-Assisted Multi-Omics DNAzyme Biosensor System for Predictive Reproductive Precision Health An AI- enabled multi-omics DNAzyme biosensor system (100) and method for predictive reproductive precision health are disclosed. The system comprises a biological sample acquisition module, a multi-omics profiling module, a cross-species validation module, an artificial intelligence-based biomarker prioritization module, a DNAzyme biosensor engineering module, a duplex-specific nuclease amplification module, a logic-gated biosensor circuit module, a portable diagnostic device module, a signal detection and processing module, a diagnostic reporting interface, and a clinical decision-support output module. Biological samples including blood, urine, seminal fluid, vaginal fluid, and follicular fluid are subjected to multi-omics profiling to generate genomics, transcriptomics, epigenomics, proteomics, metabolomics, microbiome, and related biological datasets. Artificial intelligence models identify and prioritize reproductive dysfunction-associated biomarkers, which are validated using cross-species biological models and clinically annotated human cohorts. The prioritized biomarkers are translated into catalytic DNAzyme biosensors comprising RNA-cleaving DNAzymes, G- quadruplex/hemin DNAzymes, and related catalytic sensing architectures. The biosensors may be integrated into logic-gated molecular circuits implementing AND, OR, NOT, and related operations and may further incorporate duplex-specific nuclease-assisted signal amplification for ultrasensitive detection. Diagnostic outputs are generated as colorimetric, fluorescent, optical, electrochemical, or digital signals and are processed through portable point-of-care diagnostic platforms to provide reproductive-risk classifications, biomarker importance scores, reproductive dysfunction predictions, pathway- level biological explanations, and clinical decision-support recommendations. The invention provides an integrated platform for early, multiplexed, interpretable, and decentralized reproductive health assessment.
Disclaimer: Curated by HT Syndication.
