MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043114 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 4, for 'a system and method for early disease detection using ai-based medical imaging analysis.'
Inventor(s) include Jayannan J; Meyyammai CT; Protyusha Guha Biswas; Gowthami Priyadharshini; Prakash P; Jebin Sherley; Malar Kodi K; Snehaa G; Miraculine Devadarshini P; and Subbulakshmi K.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Early Disease Detection Using AI-Based Medical Imaging Analysis The present disclosure relates to a system and method for the early detection of diseases through artificial intelligence-driven medical imaging analysis. The system uses a single processing framework to combine different types of data, such as medical images, physiological bio-signals, and clinical records that are specific to each patient. A preprocessing module standardizes and synchronizes the acquired data. Then, a bio-signal and imaging fusion engine processes the data even more to create complete diagnostic features. A federated causal learning module performs distributed analysis to identify cause-effect relationships while preserving data privacy. A digital twin simulation module makes virtual models of patients to predict how their disease will progress before they show any signs of it. The system also has an explainable AI engine that makes outputs that can be understood for making clinical decisions. A flexible edge-cloud processing architecture guarantees real-time and scalable performance, and a feedback system based on reinforcement learning allows for ongoing improvement. The system makes early risk prediction scores and alerts, which makes it possible to find diseases in a way that is accurate, predictive, and keeps people's privacy safe."
Disclaimer: Curated by HT Syndication.
