MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641048368 A) filed by Hindusthan College Of Arts & Science on April 16, 2026, for Hybrid Deep Learning System For Hemodynamic Prediction Of Carreau Blood Flow In Heated Elliptical Multi-Stenosed Arteries.
Inventors include Dr. S. Anuradha; and Dr. M. C. Anitha.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a hybrid deep learning system for predicting the hemodynamic behavior of Carreau non-Newtonian blood flow in heated elliptical multi-stenosed arteries. The invention integrates computational fluid dynamics modeling with artificial intelligence techniques to analyze complex blood flow characteristics in diseased arteries. The proposed system utilizes neural network architectures to predict velocity distribution, pressure gradient, wall shear stress, and temperature variation under varying physiological conditions. The model significantly reduces computational time while maintaining high prediction accuracy. The invention provides a powerful computational . tool for cardiovascular research, biomedical engineering applications, and medical diagnostics.
Disclaimer: Curated by HT Syndication.
