MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024089 A) filed by Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, on Feb. 28, for 'a method, a diagnostic test strip, and a system for ai/ml-driven interpretation of multiplex lateral-flow immunoassay results for detecting abnormal antibodies against minor blood-group antigens.'
Inventor(s) include Mr. Akash Kumar.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence and machine learning (AI/ML)-driven diagnostic system and method for automated interpretation of multiplex lateral-flow immunoassay (LFIA) results. The system comprises a multiplex LFIA diagnostic strip having a plurality of antigen-specific test zones, an image acquisition unit, and an AI/ML-based analytical engine configured to analyze visual assay outputs. The analytical engine extracts spatial, chromatic, and signal-intensity-based features from each antigen-specific test zone to determine antibody presence, antigen specificity, and diagnostic relevance without manual visual interpretation. The method enables reliable detection of abnormal antibodies, including clinically significant minor blood-group antibodies, and optionally provides semi-quantitative antibody titer estimation and clinical relevance indicators. The invention reduces operator dependency, minimizes false positives and missed detections, and transforms qualitative strip-based assays into automated, reproducible diagnostic tools."
Disclaimer: Curated by HT Syndication.
