Intellectual Property India Publishes Patent Application for 'A System And Method For Personalized Treatment Recommendation Using Genomic And Clinical Data' Filed by Meenakshi Academy Of Higher Education And Research

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063581 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on May 20, for 'a system and method for personalized treatment recommendation using genomic and clinical data.'

Inventor(s) include Sumanth Kumar B; Lakshmi Goudhaman; Subbulakshmi Packirisamy; Chamundeeswari D; and Durga B.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "A System and Method for Personalized Treatment Recommendation Using Genomic and Clinical Data The present disclosure relates to a system and method for personalized treatment recommendation based on genomic and clinical data via an adaptive therapeutic intelligence framework. It consists of a processor, memory, genomic interpretation module, therapeutic digital twin engine, federated genomic adaptation network module, temporal mutation drift prediction module, multi-modal bio-context fusion engine, causal therapeutic explainability engine, quantum inspired molecular response optimization module, adaptive treatment sequencing module and secure privacy preserving healthcare blockchain layer. The system is configured to receive genomic sequencing information, physiological monitoring data, wearable sensor streams, laboratory reports, environmental exposure parameters and longitudinal clinical records associated with a patient. A new therapeutic digital twin engine creates a continuously evolving computational biological replica to simulate treatment outcomes before therapy is administered. The system also forecasts mutation evolution, adaptive resistance development, and toxicity risks, while producing explainable, dynamically optimized personalized treatment suggestions. The disclosure provides predictive, adaptive, explainable and privacy-preserving precision healthcare intelligence to improve therapeutic efficacy and long-term clinical outcomes."

Disclaimer: Curated by HT Syndication.