MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611112462 A) filed by Ims Engineering College, Ghaziabad on September 18, 2026, for Artificial Intelligence Assisted System And Method For Spatio-Temporal Prediction Of Disease Outbreaks And Response Prioritization.
Inventors include Prof. Dr. Anil K. Ahlawat; Dr. Vikash Goel; and Dr. Nishant Anand.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: 041] The present invention discloses an artificial intelligence assisted system and method for spatio-temporal prediction of disease outbreaks and response prioritization. The system receives multi-source disease-related data including anonymized clinical data, laboratory indicators, environmental sensor data, vector- condition data, medicine demand data, mobility trends, and field-surveillance data. The received data is normalized, anonymized, geo-tagged, and assigned a reliability score. A local baseline profile is generated for each geographic zone based on historical, seasonal, environmental, and demographic parameters. A plurality of artificial intelligence models, including temporal forecasting, spatial clustering, anomaly detection, and disease-pattern classification models, process the data to identify abnormal outbreak signals. A model fusion engine combines model outputs and generates a confidence-calibrated outbreak risk index. The system outputs a response prioritization alert indicating probable disease group, affected geographic zone, predicted outbreak window, confidence value, and recommended public health response level for early surveillance and intervention. Accompanied Drawing [FIGS. 1-2]
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