MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076622 A) filed by Meenakshi Academy Of Higher Education And Research on June 20, 2026, for A System And Method For Multimodal Clinical State Modeling And Predictive Treatment Recommendation.
Inventors include Dr. Gopinath T. T; Dr. Roselin V; Kadirvelu Divya; Ashika Fathima. B; Srilekha S; and Prakash P.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT A SYSTEM AND METHOD FOR MULTIMODAL CLINICAL STATE MODELING AND PREDICTIVE TREATMENT RECOMMENDATION The present invention relates to a system and method for multimodal clinical state modeling and predictive treatment recommendation. The system acquires healthcare information associated with a patient from a plurality of healthcare data sources including physiological measurements, laboratory reports, diagnostic imaging data, genomic information, medication histories, wearable-device data, and clinical observations. A clinical state modelling engine generates a patient-specific latent clinical state representation, which is utilized to construct a dynamic digital health twin corresponding to the patient. A predictive health trajectory engine generates one or more future health trajectories, while a counterfactual intervention simulation engine evaluates a plurality of candidate intervention strategies and generates intervention-specific health trajectories. An intervention assessment engine determines intervention effectiveness scores and intervention stability indices, and a predictive clinical decision engine generates personalized treatment recommendations. The system further supports clinical divergence analysis, health-state drift detection, and explainable clinical reasoning, thereby improving predictive healthcare analytics, treatment planning, clinical decision- making, and patient outcomes. Fig. 3
Disclaimer: Curated by HT Syndication.
