Electrokinetically driven squeezing flows are of increasing relevance in biomedical transport and microscale pumping systems, particularly in understanding complex blood dynamics in constricted arteries. This study explores the electroosmotic bi-layered hybrid nano-blood flow through a cardiovascular squeezing channel, incorporating nanolayer and thermal slip effects. The lower layer consists of Casson-type non-Newtonian blood with SWCNTs and gold nanoparticles, while the upper layer is modeled as a Newtonian fluid. The controlling equations for various flow quantities are presented using nonlinear partial differential equations and subsequently converted to a scale-invariant form through scale-invariant transformations. The coupled nonlinear system is numerically resolved through the Runge-Kutta-Fehlberg (RKF45) approach in conjunction with a shooting scheme, executed in Mathematica to achieve stable and precise computational results. Results indicate that temperature enhances with increasing Hartmann number due to magnetic heating but diminishes with stronger interfacial ratio parameter. The Casson region exhibits more pronounced thermal and velocity gradients compared to the Newtonian region, reflecting physiological shear-thinning characteristics. This study employs an artificial neural network for rapid and precise evaluation of the skin friction coefficient demonstrating strong predictive accuracy with minimal error rates of 0.01%. These findings provide new insights into the interplay between electromagnetic and electroosmotic forces in nanofluidic blood transport. The model offers potential applications in optimizing targeted drug delivery, hyperthermia treatments and microvascular flow control in cardiovascular systems. Blood flow inside the human body becomes more complicated when it moves through narrow or partially blocked vessels, such as those affected by cardiovascular disease. In these tight spaces, forces from the vessel walls, electric fields, magnetic fields and tiny particles inside the blood can all influence how the blood moves and how heat is transferred. Understanding these effects is important for improving medical devices, treatment techniques and drug delivery methods. In this study, we examine how blood behaves when it flows through a channel that repeatedly squeezes in and out, similar to how some sections of the cardiovascular system contract. The model considers two layers of blood: a lower layer that behaves like real, thickened blood (called a non-Newtonian Casson fluid) mixed with two types of nanoparticles, and an upper layer that behaves more like a simple fluid. We also include the effects of an electric field, a magnetic field, and heat transfer at the walls. We solve the governing equations using well-established numerical methods to predict how the blood flow speed and temperature change under different conditions. The results show that stronger magnetic fields increase the temperature because they create heating inside the fluid. However, changes at the interface between the two layers can reduce this temperature rise. The complex upper layer shows sharper changes in speed and temperature, which matches the natural behavior of real blood that becomes thinner when it flows faster. Overall, this research improves our understanding of how electric and magnetic forces interact with blood containing nanoparticles. These insights may help advance targeted drug delivery, magnetic-based heating therapies and better control of blood flow in small vessels.
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