MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115493 A) filed by Nims University, Jaipur, Rajasthan, on Nov. 22, 2025, for 'system and method for early detection of transfusion risks.'
Inventor(s) include Vivek Kumar; and Anjali Goswami.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "A system (100) and method (200) for predicting an adverse transfusion reaction prior to a blood transfusion by integrating patient-specific data with machine learning. The system comprises a data acquisition module (101) configured to obtain diverse patient information including demographics, medical history, laboratory biomarkers, medications, and genetic profiles. A missing data imputation module (102) processes the obtained dataset to address incomplete or missing entries using statistical and computational techniques. The processed dataset is further transformed into structured input features by a feature engineering module (103), enabling effective analysis. These features are input into a machine learning predictive engine (104), which applies trained models to generate a probabilistic risk score (105) indicating the likelihood of adverse transfusion reactions. The probabilistic risk score (105) is then presented to clinicians through a user-friendly clinician interface (106), thereby enabling proactive decision-making, optimized transfusion strategies, and improved patient safety."
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