MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202541011515 A) filed by Manipal Academy Of Higher Education on February 11, 2025, for Artificial Intelligence-Based System And Method For Optimizing Antivenom Dosage.
Inventors include Rajalakshmi R; Girish Thunga; Jayaraj Mymbilly Balakrishnan; Rajesh V; Vishal Shanbhag; and Vijayanarayana K.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present disclosure relates to the field of medical technology and artificial intelligence (AI), specifically to an AI-driven system (100) designed to optimize the dosage of Antisnake Venom (ASV) for patients. The system (100) includes a data acquisition module (106), an AI modelling engine (110) and a validation and feedback module (112). The data acquisition module (106) is configured to gather historical and real-time clinical data, including patient demographics, clinical symptoms, laboratory parameters, and snake type. The AI modelling engine (110) utilizes machine learning algorithms, including decision tree models and multinomial logistic regression, to predict optimal ASV dosages. The validation and feedback module (112) continuously refines accuracy based on retrospective and prospective clinical data. An AI-based predictive model (116) categorizes ASV doses into low, moderate, and high. The AI modelling engine (110) is configured for continuous learning and adaptation to incorporate new clinical data, treatment patterns, and physician feedback.
Disclaimer: Curated by HT Syndication.
