MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063544 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on May 20, for 'a system and method for ai-based disease diagnosis and clinical decision support in healthcare systems.'
Inventor(s) include Anbarasu D; Anbazhagan G; Logeswari J; Soundarya Kasi; and Parthasarathy R.
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: "The present disclosure relates to a system and method for performing trust-aware multi-modal AI-based disease diagnosis and clinical decision support in healthcare systems. The system described herein aggregates heterogeneous healthcare intelligence from wearable sensing devices, medical imaging systems, pathology platforms, genomic repositories, and electronic health record infrastructures. The acquired healthcare intelligence is processed for predictive disease analysis and treatment optimization through adaptive preprocessing operations, causal disease relationship graph analysis and patient-specific physiological digital twin simulation. The system additionally allows for predictive simulation of treatment outcomes, quantification of diagnostic uncertainty, generation of explainable clinical reasoning, and federated adaptive learning for privacy-preserving optimization of healthcare intelligence. The disclosed invention may also be used to identify emerging disease mutations, provide adaptive anomaly detection and mitigate ethical bias conditions associated with healthcare analytics. The system then produces adaptive disease diagnoses, predictive healthcare alerts, personalized treatment recommendations, confidence-aware clinical analytics, and physician-readable decision-support outputs to improve diagnostic accuracy, predictive healthcare reliability, patient safety, and treatment personalization in distributed healthcare environments."
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