MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202621026303 A) filed by Shri Shankaracharya Institute LLP on March 06, 2026, for Ai-Powered Medication Safety Device For Real-Time Drug Interaction Prediction Using Multi-Omics, Quantum-Inspired Ai, And Federated Blockchain.
Inventors include Dr. Rps Chauahan; Dr. Anjali Chandra; Prabhakar Sharma; Narendra Kumar Dewangan; and Rekha Awasthi.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT “AI-Powered Medication Safety Device for Real-Time Drug Interaction Prediction Using Multi-Omics, Quantum-Inspired AI, and Federated Blockchain” The invention discloses an AI-Powered Medication Safety Device for real-time prediction and mitigation of adverse drug interactions. The device integrates quantum- inspired machine learning with dynamic neural architecture search, real-time multi-omics analysis (genomic, proteomic, metabolomic, epigenomic), and federated blockchain for privacy-preserving data sharing. It features holographic 3D visualization with augmented reality overlays, a multilingual voice-activated query system using transformer-based natural language processing, personalized polypharmacy risk scoring, and automated pharmacovigilance reporting compliant with global standards (e.g., HIPAA, GDPR). The system analyzes drug structures, chemical properties, interaction patterns, and patient-specific multi-omics profiles from global databases (e.g., DrugBank, ClinVar), enabling precise prescription decision support. An AR-based patient education interface enhances medication adherence. The device overcomes limitations of static clinical decision support systems and fragmented data frameworks, offering a scalable, interoperable solution for personalized medication safety in dynamic healthcare environments.
Disclaimer: Curated by HT Syndication.
