MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063635 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on May 20, for 'system and method for ai-enabled multi-disease prediction and clinical decision support.'
Inventor(s) include Sadhana R; Suresh Kumar D; Ram Shankar; Abhinaya B; and Pugazhendhi S.
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: "This present invention describes a system and methods for integrating healthcare diagnostics and multidisease prediction as well as clinical decision-making support using artificial intelligence (AI), machine learning (ML), federated healthcare intelligence learning, and multimodal healthcare analytics. This proposed system includes an intelligent healthcare diagnostic apparatus consisting of a processor, memory, transceiver, plurality of sensor units, AI/ML healthcare analytics module, and adaptive clinical alert module designed to constantly acquire and analyze data relating to healthcare intelligence data such as physiological parameters, biochemical measures, patient activity, and disease progression markers. This AI/ML healthcare analytics module carries out predictive disease analysis, weighted trust-based healthcare data fusion, co-morbidity analysis, explainable reasoning for clinical interventions, and healthcare risk assessments based on severity measures. Additionally, the present invention allows for generation of digital twin models of patients, adaptive treatments, and healthcare alerts based on severity considerations. Continuous training of predictive healthcare models using federated healthcare intelligence learning approaches ensures continuous improvement without jeopardizing healthcare data privacy."
Disclaimer: Curated by HT Syndication.
