Intellectual Property India Publishes Patent Application for 'A System And Method For Multi-Modal Medical Data Fusion For Accurate Disease Diagnosis' Filed by Meenakshi Academy Of Higher Education And Research

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050597 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for multi-modal medical data fusion for accurate disease diagnosis.'

Inventor(s) include Sumanth Kumar B; Subbulakshmi Packirisamy; Anitha J; Prasanna Kumar E; Anish Kumar A; Srimathi N; Thephilah Cathrine R; Nishaa Bharathi M; Miraculine Devadarshini P; and Annadurai A.

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: "A System and Method for Multi-Modal Medical Data Fusion for Accurate Disease Diagnosis The current disclosure pertains to a system and method for executing multi-modal medical data fusion to achieve precise and context-sensitive disease diagnosis. The system uses a multi-modal data acquisition unit to bring together different types of medical data from different sources, such as imaging devices, biosensors, laboratory systems, and patient records. A self-calibrating interface layer for sensors makes sure that signal drift and changes in the environment are corrected in real time to improve data quality. An adaptive modality reliability engine gives each modality a dynamic confidence weight based on the quality of the signal and the conditions under which it was acquired. A physiological consistency validation module makes sure that the relationships between modalities are clinically plausible. A context-aware diagnostic orchestration engine, on the other hand, takes into account parameters that are specific to each patient. A module for resolving diagnostic conflicts uses weighted decision logic to fix problems. A clinical validation unit at the edge makes it possible to validate in real time with low latency. The system also has secure data storage so that it can be traced. The disclosed system improves the accuracy, dependability, and efficiency of diagnostics."

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