MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641048381 A) filed by Hindusthan College Of Arts & Science on April 16, 2026, for Artificial Intelligence Driven System For Predicting Carreau Blood Flow In Thermally Influenced Multi-Stenosed Elliptical Arteries.
Inventors include Dr. S. Anuradha; Dr. D. Mallika; Dr. D. Nithya; P. Rekha; S. Renuga Devi; S. Karunalakshmi; Dr. M. Rajarajeswari; L. Dhivya Prabha; P. Jagadeeshwari; J. Radhalakshmi; S. Sheeba; S. Uma; and N. Saranya.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention discloses an artificial intelligence-based system for predicting blood flow behavior modeled as a Carreau non-Newtonian fluid in heated multi- stenosed elliptical arteries. The system integrates computational fluid dynamics (CFD) with a hybrid deep learning framework comprising Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and Artificial Neural Networks (ANN), trained on CFD-generated datasets. The proposed model effectively captures the influence of complex arterial geometry, stenosis severity, and thermal variations on hemodynamic characteristics. It enables accurate prediction of key parameters such as velocity distribution, pressure gradients, wall shear stress, and temperature profiles. By reducing reliance on computationally intensive numerical simulations, the invention provides a fast and efficient solution for real-time analysis. The system is particularly useful for cardiovascular diagnosis, treatment planning, and biomedical research applications.
Disclaimer: Curated by HT Syndication.
