MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115494 A) filed by Nims University, Jaipur, Rajasthan, on Nov. 22, 2025, for 'intelligent blood bank system for predictive demand and safe transfusions.'
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: "An (AI)-powered system comprises a data acquisition module (101) configured to collect datasets including historical blood demand records (101A), patient demographics data (101B), public health data (101C), environmental factors (101D), hospital surgical schedules (101E), and donor registration data (101F). A hybrid AI model (102A) for demand prediction incorporating a Long Short-Term Memory (LSTM) network and a Gradient Boosting Machine (GBM) processes the datasets to predict blood demand. An inventory optimization unit (103) generates real-time recommendations (103A), monitors stock levels, shelf-life data (103C), applies shortest expiry first logic (103D), and issues alerts (103F). A transfusion outcome analysis module (104) evaluates antibody profiles (104A), transfusion histories (104B), and provides compatibility recommendations with real-time alerts (104C) and alternative options (104D). A user interface module (105), feedback and continuous learning module (106), and secure cloud architecture (108) with encrypted databases (108A) and multi-factor authentication (108B) ensure robust, adaptive, and safe blood bank management."
Disclaimer: Curated by HT Syndication.
